Husainganj (Assembly constituency)
Husainganj is a constituency of the Uttar Pradesh Legislative Assembly covering the city of Husainganj in the Fatehpur district of Uttar Pradesh, India.
| Husainganj | |
|---|---|
| Constituency | |
| District | Fatehpur |
| State | Uttar Pradesh |
| Electorate | 2,86,821 (2017) |
| Current constituency | |
| Created | 2017 |
| Party | BJP |
| MLA | Ranvendra Pratap Singh |
| Reservation | None |
Husainganj is one of six assembly constituencies in the Fatehpur (Lok Sabha Constituency) Since 2008, this assembly constituency is numbered 242 amongst 403 constituencies.
Currently this seat belongs to Bharatiya Janata Party candidate Ranvendra Pratap Singh who won in last Assembly election of 2017 Uttar Pradesh Lagislative Elections defeating Indian National Congress candidate Usha Maurya by a margin of 18,593 votes.[1]
Elected MLA
| Year | Winner | Party | Ref. |
|---|---|---|---|
| 2012 | Mohammad Asif | Bahujan Samaj Party | [2] |
| 2017 | Ranvendra Pratap Singh | Bharatiya Janata Party | [1] |
Wards/Areas
It contains these parts of Fatehpur district-
1. Husainganj of Fatehpur Tehsil;
2. Airayan, Hathagaon & Kotala of Khaga Tehsil
gollark: It's quite strange that apparently BERT can be statically quantized without any extra training and retains decent accuracy but GPT-Neo emits nonsense going through the same process.
gollark: I was looking into quantization-aware training a while ago, but on the 125M model, and running that for a bit made it produce English-looking nonsense instead of random noise.
gollark: I think there's technically a way to swap bits of the model in and out of VRAM but it would still be quite slow.
gollark: You need a recent GPU with something like 16GB of VRAM.
gollark: There's probably documentation in the mesh-transformer-jax repo too.
References
- "Assembly result 2017". Elections.in. Retrieved 25 August 2017.
- "STATISTICAL REPORT ON GENERAL ELECTION, 2012 TO THE LEGISLATIVE ASSEMBLY OF UTTAR PRADESH" (PDF). Eci.nic.in.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.