# đŠī¸ **EASGen**: A Fast Python EAS Generation Library

EASGen is a powerful Python library for translating **EAS (Emergency Alert System)** ZCZC strings or other data into **SAME (Specific Area Messaging)** headers. It includes robust support for individual headers, attention tones, EOM generation, emulation modes, and WEA tone generation, ensuring a seamless experience for encoding emergency messages.
---
## đ ī¸ **Features**
- â
**EAS Generation**: Converts raw ZCZC SAME strings into Individual headers, attention tones. Also allows generation of EOMs.
- â
**PyDub AudioSegment Output**: Provides easy integration through PyDub AudioSegments.
- â
**Audio File Input**: Allows for audio files to be input to allow for audio messages and other forms of audio injection.
- â
**Very Quick**: Generates headers quickly and efficiently, allowing for high performance usage.
- â
**Emulation Modes**: Mimic the sound of various EAS hardware/software systems.
---
## đ **Installation**
### Linux (Debian-based)
```bash
sudo apt update
sudo apt install python3 python3-pip
python3 -m pip install EASGen-Remastered
```
### Windows
1. [Install Python](https://www.python.org/downloads/).
2. Open CMD and run:
```bash
python -m pip install EASGen-Remastered
```
---
## đ **Basic Usage**
### Generate a simple SAME Required Weekly Test:
```python
from EASGen import EASGen
from pydub.playback import play
header = "ZCZC-EAS-RWT-005007+0015-0010000-EAR/FOLF-" ## EAS Header to send
Alert = EASGen.genEAS(header=header, attentionTone=False, endOfMessage=True) ## Generate an EAS SAME message with no ATTN signal, and with EOMs.
play(Alert) ## Play the EAS Message
```
<details>
<summary>Output</summary>
https://github.com/user-attachments/assets/ef98a6a8-a85d-4c7d-a8af-ed52740e7be7
</details>
---
## đ **Advanced Usage**
### To Insert Audio into an alert:
```python
from EASGen import EASGen
from pydub.playback import play
from pydub import AudioSegment
header = "ZCZC-CIV-DMO-033000+0100-0010000-EAR/FOLF-" ## EAS Header to send
audio = AudioSegment.from_wav("NewHampshireDMO.wav") ## Alert Audio import
Alert = EASGen.genEAS(header=header, attentionTone=True, audio=audio, endOfMessage=True) ## Generate an EAS SAME message with an ATTN signal, the imported WAV file as the audio, and with EOMs.
play(Alert) ## Play the EAS Message
## The New Hampshire State Police has activated the New Hampshire Emergency Alert System in order to conduct a practice demo. This concludes this test of the New Hampshire Emergency Alert System.
```
<details>
<summary>Output</summary>
https://github.com/user-attachments/assets/f87d34eb-9604-4389-9bee-04b055bcb938
</details>
---
## Spamming New Hampshire Demos have never been easier!
### For a custom SampleRate:
```python
from EASGen import EASGen
from pydub.playback import play
from pydub import AudioSegment
header = "ZCZC-EAS-DMO-055079+0100-0010000-EAR/FOLF-" ## EAS Header to send
Alert = EASGen.genEAS(header=header, attentionTone=True, endOfMessage=True, sampleRate=48000) ## Generate an EAS SAME message with an ATTN signal, the imported WAV file as the audio, with EOMs, at a samplerate of 48KHz.
play(Alert) ## Play the EAS Message
```
<details>
<summary>Output</summary>
https://github.com/user-attachments/assets/97c9b41e-1c44-4ba2-8077-e13786373378
</details>
---
### To export an alert instead of playing it back:
```python
from EASGen import EASGen
from pydub import AudioSegment
header = "ZCZC-EAS-RWT-055079+0100-0010000-EAR/FOLF-" ## EAS Header to send
Alert = EASGen.genEAS(header=header, attentionTone=True, endOfMessage=True, sampleRate=48000) ## Generate an EAS SAME message with an ATTN signal, the imported WAV file as the audio, and with EOMs.
EASGen.export_wav("Alert.wav", Alert)
```
<details>
<summary>Output</summary>
https://github.com/user-attachments/assets/becc78e7-204b-478b-bc7a-213178affc61
</details>
---
### To resample an alert after generation (If sampleRate is making the audio weird):
```python
from EASGen import EASGen
from pydub.playback import play
from pydub import AudioSegment
header = "ZCZC-EAS-DMO-055079+0100-0010000-EAR/FOLF-" ## EAS Header to send
Alert = EASGen.genEAS(header=header, attentionTone=True, endOfMessage=True) ## Generate an EAS SAME message with an ATTN signal, the imported WAV file as the audio, and with EOMs.
Alert = Alert.set_frame_rate(8000) ## Resample the alert to 8KHz for no reason lol.
play(Alert) ## Play the EAS Message
```
<details>
<summary>Output</summary>
https://github.com/user-attachments/assets/fdc0fe4e-6a25-47a0-a839-6c0270e94178
</details>
---
### To simulate an ENDEC type:
```python
from EASGen import EASGen
from pydub.playback import play
from pydub import AudioSegment
header = "ZCZC-CIV-DMO-033000+0100-0010000-EAR/FOLF-" ## EAS Header to send
audio = AudioSegment.from_wav("NewHampshireDMO.wav") ## Alert Audio import
Alert = EASGen.genEAS(header=header, attentionTone=True, audio=audio, mode="DIGITAL", endOfMessage=True) ## Generate an EAS SAME message with an ATTN signal, the imported WAV file as the audio, with EOMs, and with a SAGE DIGITAL ENDEC style.
play(Alert) ## Play the EAS Message
## The New Hampshire State Police has activated the New Hampshire Emergency Alert System in order to conduct a practice demo. This concludes this test of the New Hampshire Emergency Alert System.
```
<details>
<summary>Output</summary>
https://github.com/user-attachments/assets/ac28d2e3-b3a2-45f6-bf63-dfb86b6e5aa5
</details>
---
### Now you can make all the Mocks you want!
## Supported ENDECS:
> - [x] None
> - [x] TFT (Resample to 8KHZ using ".set_frame_rate(8000)" on the generated alert)
> - [x] EASyCAP (Basically the same as None)
> - [x] DASDEC (Crank up the Samplerate to 48000 for this one)
> - [x] SAGE EAS ENDEC (Mode = "SAGE")
> - [x] SAGE DIGITAL ENDEC (Mode = "DIGITAL")
> - [x] Trilithic EASyPLUS/CAST/IPTV (Mode = "TRILITHIC")
> - [x] NWS (Mode = "NWS", Resample to 11KHZ using ".set_frame_rate(11025)" on the generated alert)
## Unsupported ENDECS:
> - [ ] HollyAnne Units (Can't sample down to 5KHz... This is a good thing.)
> - [ ] Gorman-Reidlich Units (Don't listen to them enough to simulate. I think they're like TFT, but donno.)
> - [ ] Cadco Twister Units (No Data)
> - [ ] MTS Units (No Data)
---
### To hear all the ENDEC styles, do this:
```python
from EASGen import EASGen
from pydub.playback import play
from pydub import AudioSegment
print("Normal / EASyCAP")
play(EASGen.genEAS("ZCZC-EAS-DMO-055079+0100-0391810-EAR/FOLF-", True, True, AudioSegment.empty(), "", 24000, False))
print("DAS")
play(EASGen.genEAS("ZCZC-EAS-DMO-055079+0100-0391810-EAR/FOLF-", True, True, AudioSegment.empty(), "", 48000, True))
print("TFT")
play(EASGen.genEAS("ZCZC-EAS-DMO-055079+0100-0391810-EAR/FOLF-", True, True, AudioSegment.empty(), "", 24000, True).set_frame_rate(8000))
print("NWS")
play(EASGen.genEAS("ZCZC-EAS-DMO-055079+0100-0391810-EAR/FOLF-", True, True, AudioSegment.empty(), "NWS", 24000, True).set_frame_rate(11025))
print("SAGE")
play(EASGen.genEAS("ZCZC-EAS-DMO-055079+0100-0391810-EAR/FOLF-", True, True, AudioSegment.empty(), "SAGE", 24000, True))
print("DIGITAL")
play(EASGen.genEAS("ZCZC-EAS-DMO-055079+0100-0391810-EAR/FOLF-", True, True, AudioSegment.empty(), "DIGITAL", 24000, True))
print("EASyPLUS/CAST/IPTV")
play(EASGen.genEAS("ZCZC-EAS-DMO-055079+0100-0391810-EAR/FOLF-", True, True, AudioSegment.empty(), "TRILITHIC", 24000, True))
```
<details>
<summary>Output</summary>
https://github.com/user-attachments/assets/e56a3f58-20d0-4594-a6bd-e0cdece92540
https://github.com/user-attachments/assets/6ba4db6e-cd2f-4a15-a3d4-9f579abfbfbc
https://github.com/user-attachments/assets/9b4e4131-fbbb-4630-81bf-bba480483d77
https://github.com/user-attachments/assets/58a57f4b-5eac-442b-bcac-8de6c9e759e2
https://github.com/user-attachments/assets/9e987f1a-5c9b-4e48-94e6-6254df09af6a
https://github.com/user-attachments/assets/ca9918ec-78ea-4612-99ee-923bfe695bc0
https://github.com/user-attachments/assets/0e80b6e9-a53b-4d88-94e9-4d44f6f3019f
</details>
---
## To generate ATTN only alerts, such as NPAS or WEA:
### For NPAS:
```python
from EASGen import EASGen
from pydub.playback import play
from pydub import AudioSegment
Alert = EASGen.genATTN(mode="NPAS") ## Generate an NPAS (AlertReady) Tone
play(Alert) ## Play the NPAS Tones
```
<details>
<summary>Output</summary>
https://github.com/user-attachments/assets/9f22a1a7-dd22-4e1a-89b4-179a38cd2206
</details>
---
### For WEA:
```python
from EASGen import EASGen
from pydub.playback import play
from pydub import AudioSegment
Alert = EASGen.genATTN(mode="WEA") ## Generate WEA Tones
play(Alert) ## Play the WEA Tones
```
<details>
<summary>Output</summary>
https://github.com/user-attachments/assets/cfd3df91-053d-445b-a84e-79bdb2b9ca72
</details>
---
### To use the Bandpass Filter functionality:
```python
from EASGen import EASGen
from pydub.playback import play
from pydub import AudioSegment
header = "ZCZC-CIV-DMO-033000+0100-0010000-EAR/FOLF-" ## EAS Header to send
Alert = EASGen.genEAS(header=header, attentionTone=True, mode="DIGITAL", endOfMessage=True, bandpass=True) # New BandPass feature, which improves the audio quality on some emulation modes.
play(Alert) ## Play the EAS Message
```
<details>
<summary>Output</summary>
https://github.com/user-attachments/assets/511d82af-7c71-4e09-89e3-25b51c461b18
</details>
---
## â ī¸ **Reporting Issues**
- Bugs and other issues can be reported on [Discord](https://discord.com/users/637078631943897103) or in the GitHub Issues tab.
- Include **entire ZCZC SAME strings** and any Audio Files injected and details for accurate and quick fixes.
---
## đ **License**
**MIT License**
---
## đ¤ **Contact**
- **Developer**: SecludedHusky Systems/Newton Communications
- **Discord**: [Contact Here](https://discord.com/users/637078631943897103)
---
### â¤ī¸ **Thank You for Using My Version of EASGen!**
Powered by [SecludedHusky Systems](https://services.secludedhusky.com). Get affordable internet radio services and VPS hosting today.
Raw data
{
"_id": null,
"home_page": "https://github.com/Newton-Communications/EG",
"name": "EASGen-Remastered",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": "audio sound eas alerting emergency-alert-system",
"author": "secludedhusky",
"author_email": "secludedhusky@chesbaycommunications.com",
"download_url": "https://files.pythonhosted.org/packages/d5/8c/3d7042395f57eb06d6258868bbfb31abf785d69b50b184d98fe9c2da1b35/EASGen-Remastered-0.1.14.1.tar.gz",
"platform": null,
"description": "# \ud83c\udf29\ufe0f **EASGen**: A Fast Python EAS Generation Library\n\n\n\nEASGen is a powerful Python library for translating **EAS (Emergency Alert System)** ZCZC strings or other data into **SAME (Specific Area Messaging)** headers. It includes robust support for individual headers, attention tones, EOM generation, emulation modes, and WEA tone generation, ensuring a seamless experience for encoding emergency messages.\n\n---\n\n## \ud83d\udee0\ufe0f **Features**\n- \u2705 **EAS Generation**: Converts raw ZCZC SAME strings into Individual headers, attention tones. Also allows generation of EOMs.\n- \u2705 **PyDub AudioSegment Output**: Provides easy integration through PyDub AudioSegments.\n- \u2705 **Audio File Input**: Allows for audio files to be input to allow for audio messages and other forms of audio injection.\n- \u2705 **Very Quick**: Generates headers quickly and efficiently, allowing for high performance usage.\n- \u2705 **Emulation Modes**: Mimic the sound of various EAS hardware/software systems.\n\n---\n\n## \ud83d\ude80 **Installation**\n\n### Linux (Debian-based)\n```bash\nsudo apt update\nsudo apt install python3 python3-pip\npython3 -m pip install EASGen-Remastered\n```\n\n### Windows\n1. [Install Python](https://www.python.org/downloads/).\n2. Open CMD and run:\n ```bash\n python -m pip install EASGen-Remastered\n ```\n\n---\n\n## \ud83d\udcd6 **Basic Usage**\n\n### Generate a simple SAME Required Weekly Test:\n```python\nfrom EASGen import EASGen\nfrom pydub.playback import play\n\nheader = \"ZCZC-EAS-RWT-005007+0015-0010000-EAR/FOLF-\" ## EAS Header to send\nAlert = EASGen.genEAS(header=header, attentionTone=False, endOfMessage=True) ## Generate an EAS SAME message with no ATTN signal, and with EOMs.\nplay(Alert) ## Play the EAS Message\n```\n\n<details>\n<summary>Output</summary>\n\n\nhttps://github.com/user-attachments/assets/ef98a6a8-a85d-4c7d-a8af-ed52740e7be7\n\n\n</details>\n\n---\n\n## \ud83d\udd0d **Advanced Usage**\n\n### To Insert Audio into an alert:\n```python\nfrom EASGen import EASGen\nfrom pydub.playback import play\nfrom pydub import AudioSegment\n\nheader = \"ZCZC-CIV-DMO-033000+0100-0010000-EAR/FOLF-\" ## EAS Header to send\naudio = AudioSegment.from_wav(\"NewHampshireDMO.wav\") ## Alert Audio import\nAlert = EASGen.genEAS(header=header, attentionTone=True, audio=audio, endOfMessage=True) ## Generate an EAS SAME message with an ATTN signal, the imported WAV file as the audio, and with EOMs.\nplay(Alert) ## Play the EAS Message\n## The New Hampshire State Police has activated the New Hampshire Emergency Alert System in order to conduct a practice demo. This concludes this test of the New Hampshire Emergency Alert System.\n```\n\n<details>\n<summary>Output</summary>\n\n\nhttps://github.com/user-attachments/assets/f87d34eb-9604-4389-9bee-04b055bcb938\n\n\n</details>\n\n---\n\n## Spamming New Hampshire Demos have never been easier!\n\n### For a custom SampleRate:\n```python\nfrom EASGen import EASGen\nfrom pydub.playback import play\nfrom pydub import AudioSegment\n\nheader = \"ZCZC-EAS-DMO-055079+0100-0010000-EAR/FOLF-\" ## EAS Header to send\nAlert = EASGen.genEAS(header=header, attentionTone=True, endOfMessage=True, sampleRate=48000) ## Generate an EAS SAME message with an ATTN signal, the imported WAV file as the audio, with EOMs, at a samplerate of 48KHz.\nplay(Alert) ## Play the EAS Message\n```\n\n<details>\n<summary>Output</summary>\n\n\nhttps://github.com/user-attachments/assets/97c9b41e-1c44-4ba2-8077-e13786373378\n\n\n</details>\n\n---\n\n### To export an alert instead of playing it back:\n```python\nfrom EASGen import EASGen\nfrom pydub import AudioSegment\n\nheader = \"ZCZC-EAS-RWT-055079+0100-0010000-EAR/FOLF-\" ## EAS Header to send\nAlert = EASGen.genEAS(header=header, attentionTone=True, endOfMessage=True, sampleRate=48000) ## Generate an EAS SAME message with an ATTN signal, the imported WAV file as the audio, and with EOMs.\nEASGen.export_wav(\"Alert.wav\", Alert)\n```\n\n<details>\n<summary>Output</summary>\n\n\nhttps://github.com/user-attachments/assets/becc78e7-204b-478b-bc7a-213178affc61\n\n\n</details>\n\n---\n\n### To resample an alert after generation (If sampleRate is making the audio weird):\n```python\nfrom EASGen import EASGen\nfrom pydub.playback import play\nfrom pydub import AudioSegment\n\nheader = \"ZCZC-EAS-DMO-055079+0100-0010000-EAR/FOLF-\" ## EAS Header to send\nAlert = EASGen.genEAS(header=header, attentionTone=True, endOfMessage=True) ## Generate an EAS SAME message with an ATTN signal, the imported WAV file as the audio, and with EOMs.\nAlert = Alert.set_frame_rate(8000) ## Resample the alert to 8KHz for no reason lol.\nplay(Alert) ## Play the EAS Message\n```\n\n<details>\n<summary>Output</summary>\n\n\nhttps://github.com/user-attachments/assets/fdc0fe4e-6a25-47a0-a839-6c0270e94178\n\n\n</details>\n\n---\n\n### To simulate an ENDEC type:\n```python\nfrom EASGen import EASGen\nfrom pydub.playback import play\nfrom pydub import AudioSegment\n\nheader = \"ZCZC-CIV-DMO-033000+0100-0010000-EAR/FOLF-\" ## EAS Header to send\naudio = AudioSegment.from_wav(\"NewHampshireDMO.wav\") ## Alert Audio import\nAlert = EASGen.genEAS(header=header, attentionTone=True, audio=audio, mode=\"DIGITAL\", endOfMessage=True) ## Generate an EAS SAME message with an ATTN signal, the imported WAV file as the audio, with EOMs, and with a SAGE DIGITAL ENDEC style.\nplay(Alert) ## Play the EAS Message\n## The New Hampshire State Police has activated the New Hampshire Emergency Alert System in order to conduct a practice demo. This concludes this test of the New Hampshire Emergency Alert System.\n```\n\n<details>\n<summary>Output</summary>\n\n\nhttps://github.com/user-attachments/assets/ac28d2e3-b3a2-45f6-bf63-dfb86b6e5aa5\n\n\n</details>\n\n---\n\n### Now you can make all the Mocks you want!\n\n## Supported ENDECS:\n> - [x] None\n> - [x] TFT (Resample to 8KHZ using \".set_frame_rate(8000)\" on the generated alert)\n> - [x] EASyCAP (Basically the same as None)\n> - [x] DASDEC (Crank up the Samplerate to 48000 for this one)\n> - [x] SAGE EAS ENDEC (Mode = \"SAGE\")\n> - [x] SAGE DIGITAL ENDEC (Mode = \"DIGITAL\")\n> - [x] Trilithic EASyPLUS/CAST/IPTV (Mode = \"TRILITHIC\")\n> - [x] NWS (Mode = \"NWS\", Resample to 11KHZ using \".set_frame_rate(11025)\" on the generated alert)\n\n## Unsupported ENDECS:\n> - [ ] HollyAnne Units (Can't sample down to 5KHz... This is a good thing.)\n> - [ ] Gorman-Reidlich Units (Don't listen to them enough to simulate. I think they're like TFT, but donno.)\n> - [ ] Cadco Twister Units (No Data)\n> - [ ] MTS Units (No Data)\n\n---\n\n### To hear all the ENDEC styles, do this:\n```python\nfrom EASGen import EASGen\nfrom pydub.playback import play\nfrom pydub import AudioSegment\n\nprint(\"Normal / EASyCAP\")\nplay(EASGen.genEAS(\"ZCZC-EAS-DMO-055079+0100-0391810-EAR/FOLF-\", True, True, AudioSegment.empty(), \"\", 24000, False))\nprint(\"DAS\")\nplay(EASGen.genEAS(\"ZCZC-EAS-DMO-055079+0100-0391810-EAR/FOLF-\", True, True, AudioSegment.empty(), \"\", 48000, True))\nprint(\"TFT\")\nplay(EASGen.genEAS(\"ZCZC-EAS-DMO-055079+0100-0391810-EAR/FOLF-\", True, True, AudioSegment.empty(), \"\", 24000, True).set_frame_rate(8000))\nprint(\"NWS\")\nplay(EASGen.genEAS(\"ZCZC-EAS-DMO-055079+0100-0391810-EAR/FOLF-\", True, True, AudioSegment.empty(), \"NWS\", 24000, True).set_frame_rate(11025))\nprint(\"SAGE\")\nplay(EASGen.genEAS(\"ZCZC-EAS-DMO-055079+0100-0391810-EAR/FOLF-\", True, True, AudioSegment.empty(), \"SAGE\", 24000, True))\nprint(\"DIGITAL\")\nplay(EASGen.genEAS(\"ZCZC-EAS-DMO-055079+0100-0391810-EAR/FOLF-\", True, True, AudioSegment.empty(), \"DIGITAL\", 24000, True))\nprint(\"EASyPLUS/CAST/IPTV\")\nplay(EASGen.genEAS(\"ZCZC-EAS-DMO-055079+0100-0391810-EAR/FOLF-\", True, True, AudioSegment.empty(), \"TRILITHIC\", 24000, True))\n```\n\n<details>\n<summary>Output</summary>\n\n\nhttps://github.com/user-attachments/assets/e56a3f58-20d0-4594-a6bd-e0cdece92540\n\n\n\n\nhttps://github.com/user-attachments/assets/6ba4db6e-cd2f-4a15-a3d4-9f579abfbfbc\n\n\n\n\nhttps://github.com/user-attachments/assets/9b4e4131-fbbb-4630-81bf-bba480483d77\n\n\n\nhttps://github.com/user-attachments/assets/58a57f4b-5eac-442b-bcac-8de6c9e759e2\n\n\n\n\n\nhttps://github.com/user-attachments/assets/9e987f1a-5c9b-4e48-94e6-6254df09af6a\n\n\n\n\nhttps://github.com/user-attachments/assets/ca9918ec-78ea-4612-99ee-923bfe695bc0\n\n\n\n\nhttps://github.com/user-attachments/assets/0e80b6e9-a53b-4d88-94e9-4d44f6f3019f\n\n\n</details>\n\n---\n\n## To generate ATTN only alerts, such as NPAS or WEA:\n\n### For NPAS:\n```python\nfrom EASGen import EASGen\nfrom pydub.playback import play\nfrom pydub import AudioSegment\n\nAlert = EASGen.genATTN(mode=\"NPAS\") ## Generate an NPAS (AlertReady) Tone\nplay(Alert) ## Play the NPAS Tones\n```\n\n<details>\n<summary>Output</summary>\n\n\n\nhttps://github.com/user-attachments/assets/9f22a1a7-dd22-4e1a-89b4-179a38cd2206\n\n\n</details>\n\n---\n\n### For WEA:\n```python\nfrom EASGen import EASGen\nfrom pydub.playback import play\nfrom pydub import AudioSegment\n\nAlert = EASGen.genATTN(mode=\"WEA\") ## Generate WEA Tones\nplay(Alert) ## Play the WEA Tones\n```\n\n<details>\n<summary>Output</summary>\n\n\n\nhttps://github.com/user-attachments/assets/cfd3df91-053d-445b-a84e-79bdb2b9ca72\n\n\n</details>\n\n---\n\n### To use the Bandpass Filter functionality:\n```python\nfrom EASGen import EASGen\nfrom pydub.playback import play\nfrom pydub import AudioSegment\n\nheader = \"ZCZC-CIV-DMO-033000+0100-0010000-EAR/FOLF-\" ## EAS Header to send\nAlert = EASGen.genEAS(header=header, attentionTone=True, mode=\"DIGITAL\", endOfMessage=True, bandpass=True) # New BandPass feature, which improves the audio quality on some emulation modes.\nplay(Alert) ## Play the EAS Message\n```\n\n<details>\n<summary>Output</summary>\n\n\nhttps://github.com/user-attachments/assets/511d82af-7c71-4e09-89e3-25b51c461b18\n\n\n</details>\n\n---\n\n## \u26a0\ufe0f **Reporting Issues**\n\n- Bugs and other issues can be reported on [Discord](https://discord.com/users/637078631943897103) or in the GitHub Issues tab.\n- Include **entire ZCZC SAME strings** and any Audio Files injected and details for accurate and quick fixes.\n\n---\n\n## \ud83d\udcdc **License**\n\n**MIT License**\n\n---\n\n## \ud83d\udc64 **Contact**\n\n- **Developer**: SecludedHusky Systems/Newton Communications\n- **Discord**: [Contact Here](https://discord.com/users/637078631943897103)\n\n---\n\n### \u2764\ufe0f **Thank You for Using My Version of EASGen!** \nPowered by [SecludedHusky Systems](https://services.secludedhusky.com). Get affordable internet radio services and VPS hosting today.\n",
"bugtrack_url": null,
"license": "ODbL-1.0",
"summary": "A Python library to generate EAS SAME Audio using Raw Data - Remastered",
"version": "0.1.14.1",
"project_urls": {
"Homepage": "https://github.com/Newton-Communications/EG"
},
"split_keywords": [
"audio",
"sound",
"eas",
"alerting",
"emergency-alert-system"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "4e96baed4d5831a9883891b35c41817dd2bcd846bf8dac306c74ee03df019fa8",
"md5": "dff3afaf37f2db3b77a23ffd124bee18",
"sha256": "a5abb25912a942ab53d5abe4c991e707c1a17e9018d66c37a8edd299913b5406"
},
"downloads": -1,
"filename": "EASGen_Remastered-0.1.14.1-py2.py3-none-any.whl",
"has_sig": false,
"md5_digest": "dff3afaf37f2db3b77a23ffd124bee18",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": null,
"size": 15054,
"upload_time": "2025-03-16T20:42:46",
"upload_time_iso_8601": "2025-03-16T20:42:46.956238Z",
"url": "https://files.pythonhosted.org/packages/4e/96/baed4d5831a9883891b35c41817dd2bcd846bf8dac306c74ee03df019fa8/EASGen_Remastered-0.1.14.1-py2.py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "d58c3d7042395f57eb06d6258868bbfb31abf785d69b50b184d98fe9c2da1b35",
"md5": "b53e95f29330b0815d57070f2d109991",
"sha256": "e6b82e1e1f92e37a4f7b4ac3b328957de79fac23dac62a821be0bc713a72137c"
},
"downloads": -1,
"filename": "EASGen-Remastered-0.1.14.1.tar.gz",
"has_sig": false,
"md5_digest": "b53e95f29330b0815d57070f2d109991",
"packagetype": "sdist",
"python_version": "source",
"requires_python": null,
"size": 18244,
"upload_time": "2025-03-16T20:42:48",
"upload_time_iso_8601": "2025-03-16T20:42:48.256356Z",
"url": "https://files.pythonhosted.org/packages/d5/8c/3d7042395f57eb06d6258868bbfb31abf785d69b50b184d98fe9c2da1b35/EASGen-Remastered-0.1.14.1.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-03-16 20:42:48",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "Newton-Communications",
"github_project": "EG",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "easgen-remastered"
}