🌻 Sunflower Land Bot 🌻

⚠️ Warning

I am not responsible for any penalties incurred by those who use the bot, use it at your own risk.

This BOT is completely secure, it does not ask for your metamask password or private key.

📌 Glossary

Donation
About
Robot - Preview
Installation
- Terminal commands
How to works
Tests
Configs

🎁 Donation (for support)

BUSD/USDC/BNB/MATIC: 0x4847C29561B6682154E25c334E12d156e19F613a

PIX (Brazil Payment): 08912d17-47a6-411e-b7ec-ef793203f836

📋 About

This bot contains code from other developers, this bot was just refactored, to facilitate new implementations and maintenance.

This bot is free and open source.

?? Robot - Preview

🪟 Installation

Python

🖥️ Computer/Laptop High or Medium Profile
🐍 Install the Python 3.9.9

🖥️ Computer/Laptop Low Profile or Low Profile with Windows 7 Pro
🐍 Install the Python 3.8.10

🔗 https://www.python.org/downloads/

⚠️ It is important to check the option to add python to PATH

Commands

Install the dependencies by running the command below into the project folder:

pip install -r requirements.txt

Ready! Now just start the bot with the command, inside the project folder

python index.py

How to works?

The bot doesn't change any of the game's source code, it just takes a screenshot of the game's screen to find the buttons and simulates mouse movements.

⚠️ Some settings can be changed in the /config/config.yaml file, don't forget to restart the bot if you change the settings, some changes in the /config/config.yaml file may cause the bot to stop, such as activating the telegram when the bot is running.

The waiting time for harvesting the sunflower is 1 minute, and for the other plants it is 5 minutes.

🧪 Tests

Desktop Medium Profile
Intel i5-3570k @ 3.4Ghz, 24GB RAM
Windows 11, Resolution@1920x1080
Python 3.9.9

Laptop Low Profile
Laptop Samsumg RV411, Pentium P6200 @ 2.13Ghz, 2GB RAM
Windows 7, Resolution@1366x768
Python 3.8.10

🧑‍🌾 Config

⚠️ Don't forget to rename /config/EXAMPLE-farn.yaml file, to /config/farm.yaml.

Use the enable option to activate which seed you want to use and the sell option to deactivate the sale of the seed, in this case it is for you not to sell the seed, if you are accumulating to buy some NFT.

{
  crops:
    [
      { position: 0, enable: true, title: "sunflower", sell: true },
      { position: 1, enable: true, title: "potato", sell: true },
      { position: 2, enable: true, title: "pumpkin", sell: true },
      { position: 3, enable: true, title: "carrot", sell: true },
      { position: 4, enable: true, title: "cabbage", sell: true },
      { position: 5, enable: true, title: "beetroot", sell: true },
      { position: 6, enable: true, title: "cauliflower", sell: true },
      { position: 7, enable: false, title: "parsnip", sell: false },
      { position: 8, enable: false, title: "radish", sell: false },
      { position: 9, enable: false, title: "wheat", sell: false },
    ],
  forest: [],
  water: [],
}

👍 Did you like it? :)

BUSD/USDC/BNB/MATIC: 0x4847C29561B6682154E25c334E12d156e19F613a

PIX (Brazil Payment): 08912d17-47a6-411e-b7ec-ef793203f836

Bumps numpy from 1.21.4 to 1.22.0.

Release notes

Sourced from numpy's releases.

v1.22.0

NumPy 1.22.0 Release Notes

NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.

A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.

NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.

New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.

A new configurable allocator for use by downstream projects.

These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

Expired deprecations

Deprecated numeric style dtype strings have been removed

Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

(gh-19539)

Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

(gh-19615)

... (truncated)

Commits

4adc87d Merge pull request #20685 from charris/prepare-for-1.22.0-release
fd66547 REL: Prepare for the NumPy 1.22.0 release.
125304b wip
c283859 Merge pull request #20682 from charris/backport-20416
5399c03 Merge pull request #20681 from charris/backport-20954
f9c45f8 Merge pull request #20680 from charris/backport-20663
794b36f Update armccompiler.py
d93b14e Update test_public_api.py
7662c07 Update init.py
311ab52 Update armccompiler.py
Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

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chore(deps): bump numpy from 1.21.4 to 1.22.0
Bumps numpy from 1.21.4 to 1.22.0.

Release notes

Sourced from numpy's releases.

v1.22.0

NumPy 1.22.0 Release Notes

NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.

A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.

NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.

New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.

A new configurable allocator for use by downstream projects.

These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

Expired deprecations

Deprecated numeric style dtype strings have been removed

Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

(gh-19539)

Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

(gh-19615)

... (truncated)

Commits

4adc87d Merge pull request #20685 from charris/prepare-for-1.22.0-release

fd66547 REL: Prepare for the NumPy 1.22.0 release.

125304b wip

c283859 Merge pull request #20682 from charris/backport-20416

5399c03 Merge pull request #20681 from charris/backport-20954

f9c45f8 Merge pull request #20680 from charris/backport-20663

794b36f Update armccompiler.py

d93b14e Update test_public_api.py

7662c07 Update init.py

311ab52 Update armccompiler.py

Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

@dependabot rebase will rebase this PR

@dependabot recreate will recreate this PR, overwriting any edits that have been made to it

@dependabot merge will merge this PR after your CI passes on it

@dependabot squash and merge will squash and merge this PR after your CI passes on it

@dependabot cancel merge will cancel a previously requested merge and block automerging

@dependabot reopen will reopen this PR if it is closed

@dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually

@dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)

@dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)

@dependabot use these labels will set the current labels as the default for future PRs for this repo and language

@dependabot use these reviewers will set the current reviewers as the default for future PRs for this repo and language

@dependabot use these assignees will set the current assignees as the default for future PRs for this repo and language

@dependabot use this milestone will set the current milestone as the default for future PRs for this repo and language

You can disable automated security fix PRs for this repo from the Security Alerts page.

dependencies
opened by dependabot[bot] 0

This is a Python bot, which automates logging in, purchasing and planting the seeds. Open source bot and completely free.

Related tags

Overview

🌻 Sunflower Land Bot 🌻

⚠️ Warning

I am not responsible for any penalties incurred by those who use the bot, use it at your own risk.

This BOT is completely secure, it does not ask for your metamask password or private key.

📌 Glossary

🎁 Donation (for support)

BUSD/USDC/BNB/MATIC: 0x4847C29561B6682154E25c334E12d156e19F613a

PIX (Brazil Payment): 08912d17-47a6-411e-b7ec-ef793203f836

📋 About

?? Robot - Preview

🪟 Installation

Python

Commands

How to works?

🧪 Tests

🧑‍🌾 Config

⚠️ Don't forget to rename /config/EXAMPLE-farn.yaml file, to /config/farm.yaml.

Use the enable option to activate which seed you want to use and the sell option to deactivate the sale of the seed, in this case it is for you not to sell the seed, if you are accumulating to buy some NFT.

👍 Did you like it? :)

BUSD/USDC/BNB/MATIC: 0x4847C29561B6682154E25c334E12d156e19F613a

PIX (Brazil Payment): 08912d17-47a6-411e-b7ec-ef793203f836

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Comments

chore(deps): bump numpy from 1.21.4 to 1.22.0

v1.22.0

NumPy 1.22.0 Release Notes

Expired deprecations

Deprecated numeric style dtype strings have been removed

Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

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Expired deprecations for `loads`, `ndfromtxt`, and `mafromtxt` in npyio