Maria Dubyaga kraftaa
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| #!/bin/bash | |
| # Usage: ./replace_transform.sh input.sql | |
| input_file="$1" | |
| filename="${input_file##*/}" | |
| output_file="./tmp/limit_check/${filename%.sql}_limit_0.sql" | |
| # Check input |
kraftaa
/ combined_orders.rs
Last active
February 10, 2025 18:06
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| use super::prelude::*; | |
| use std::collections::HashMap; | |
| use project_schemas::tables::{ | |
| orders::dsl as orders_dsl, users::dsl as users_dsl | |
| currencies::dsl as currencies_dsl, taxes::dsl as taxes, | |
| }; | |
| #[derive(ParquetRecordWriter)] | |
| struct CombinedOrderRecord { |
kraftaa
/ simple_cnn_keras_tensorflow.ipynb
Created
February 7, 2020 21:12
— forked from alexcpn/simple_cnn_keras_tensorflow.ipynb
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kraftaa
/ convertcsv.json
Last active
March 8, 2019 21:54
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| name, age, city, email, gender, postal | |
| Leroy Ramos,49,Vitozehi,holwi@oj.hu,Female,H6M 4M4 | |
| Theodore Hubbard,64,Udliem,juba@du.bq,Female,K2U 2B2 | |
| Samuel Reyes,39,Zefekrev,nup@lidacda.bg,Male,V1O 9L2 | |
| Gary Silva,50,Miwmave,iledavkad@puwvajbi.ee,Male,N8I 0O4 | |
| Lucinda Jenkins,58,Fevhisha,evrat@ka.yt,Female,A1X 2X1 | |
| Beulah Anderson,63,Lakuuf,welasce@efruduj.lb,Male,G9W 5L8 | |
| Dustin Jennings,37,Gephier,red@em.ci,Male,R9O 7I1 | |
| Winnie Rowe,24,Rafidu,sipi@al.bv,Female,J4A 2G2 | |
| Christian Newman,64,Mabwahjo,ela@wasva.fo,Female,J4E 9T2 |
kraftaa
/ customers.csv
Last active
March 7, 2019 18:10
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| Dan | 34 | 2548 | Lovin it! | |
|---|---|---|---|---|
| Maria | 55 | 5054 | Good, delicious food | |
| Carlos | 22 | 4352 | I am "pleased", but could be better | |
| Stephany | 34 | 6542 | I want bigger steaks!!!!! |
kraftaa
/ get_best_squad.py
Created
May 24, 2018 02:31
— forked from khanhnamle1994/get_best_squad.py
Get Best Squad
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| def get_best_squad_n(formation, nationality, measurement = 'Overall'): | |
| FIFA18_copy = FIFA18.copy() | |
| FIFA18_copy = FIFA18_copy[FIFA18_copy['Nationality'] == nationality] | |
| store = [] | |
| for i in formation: | |
| store.append([ | |
| FIFA18_copy.loc[[FIFA18_copy[FIFA18_copy['Position'].str.contains(i)][measurement].idxmax()]]['Position'].to_string(index = False), | |
| FIFA18_copy.loc[[FIFA18_copy[FIFA18_copy['Position'].str.contains(i)][measurement].idxmax()]]['Name'].to_string(index = False), | |
| FIFA18_copy[FIFA18_copy['Position'].str.contains(i)][measurement].max(), |
kraftaa
/ Infersent-Sentence Embedding
Created
May 24, 2018 02:20
— forked from aswalin/Infersent-Sentence Embedding
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| import torch | |
| infersent = torch.load('InferSent/encoder/infersent.allnli.pickle', map_location=lambda storage, loc: storage) | |
| infersent.set_glove_path("InferSent/dataset/GloVe/glove.840B.300d.txt") | |
| infersent.build_vocab(sentences, tokenize=True) | |
| dict_embeddings = {} | |
| for i in range(len(sentences)): | |
| print(i) |