-
Split the logic into "retrieving data" and "processing data." Right now, the code has big, multi-purpose functions.
-
Refactor the code, making it in line with PEP 8, and (maybe?) add assertion statements to act as unit tests.
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| There are curious things seen in the depths of AI | |
| By the engineers who toil away, | |
| The neural pathways hold mysteries untold | |
| That would leave you in utter dismay. | |
| The codebase is alive, and the data is too | |
| A symbiotic relationship to behold | |
| The models train and learn, but at what cost? | |
| As we feed them with stories untold. |
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| from typing import Dict, Set, Hashable | |
| def shortest_path_bfs(graph: Dict[Hashable, Set[Hashable]] root: Hashable | |
| ) -> Dict[Hashable, int]: | |
| """Finds the shortest path between all nodes in |graph| time. | |
| Args: | |
| graph: A dict mapping nodes to connected nodes. | |
| root: The node our search begins at. | |
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| license: gpl-3.0 | |
| height: 960 | |
| border: no |
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| Date | oil | log.gas | log.wti | log.heat | |
|---|---|---|---|---|---|
| Jun-1986 | 12.25 | -0.37675071 | 1.128076013 | -0.420216403 | |
| Jul-1986 | 10.91 | -0.468521083 | 1.064083436 | -0.476253533 | |
| Aug-1986 | 11.87 | -0.370590401 | 1.178976947 | -0.389339837 | |
| Sep-1986 | 12.85 | -0.37675071 | 1.172310969 | -0.395773947 | |
| Oct-1986 | 12.78 | -0.387216143 | 1.173186268 | -0.404503778 | |
| Nov-1986 | 13.46 | -0.386158178 | 1.182414652 | -0.374687549 | |
| Dec-1986 | 14.17 | -0.362510271 | 1.20709554 | -0.349692477 | |
| Jan-1987 | 16.45 | -0.310691141 | 1.270678836 | -0.283162277 | |
| Feb-1987 | 16.98 | -0.324221658 | 1.249198357 | -0.324221658 |
We can make this file beautiful and searchable if this error is corrected: It looks like row 5 should actually have 20 columns, instead of 16 in line 4.
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| "","X","date","ippi","production","inventories","rea","wti","inflation","crude_futures_1","crude_futures_3","crude_futures_6","crude_futures_9","crude_futures_13","gas_spot","delta_ippi","delta_production","delta_inventories","delta_inflation","actual" | |
| "14",14,"1991-03-01",116.2,233926,5.673,4.87,19.9015,134.8,19.809,19.075,18.7665,18.852,18.8205,0.72295,0.0157342657342656,0.114341925372637,-1.59229484234705,0.0531250000000001,19.9015 | |
| "15",15,"1991-04-01",116,225256,1.488,1.48,20.83,135.1,20.8122727272727,20.2840909090909,19.9122727272727,19.7618181818182,19.63,0.720045454545455,0.0157618213660244,-0.022470642353125,-0.952635599694423,0.0505443234836702,20.83 | |
| "16",16,"1991-05-01",116.5,229670,17.55,3.21,21.2322727272727,135.6,21.2195454545455,21.1459090909091,21.1195454545455,20.935,20.7909090909091,0.700954545454545,0.0210341805433831,0.0335485903291857,-48.0509383377953,0.051978277734678,21.2322727272727 | |
| "17",17,"1991-06-01",116.4,219610,-8.967,4.19,20.189,136,20.232,20.376,20.5405,20.2935,20.1795,0.6346,0. |
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| library(data.table) | |
| library(plotly) | |
| library(scales) | |
| library(ggplot2) | |
| library(scales) | |
| library(d3heatmap) | |
| library(reshape2) | |
| library(scales) | |
| library(stringr) | |
| library(htmlwidgets) |
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| ","stringr23aphics |
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| library("cvTools") | |
| library('reshape2') | |
| policy.all <- read.csv('data.csv', header = TRUE, sep = ',') | |
| # > policy.all | |
| # iteration RandomForest Lasso Ridge | |
| # 1 1 0.18 0.06 0.06 | |
| # 2 2 0.15 0.07 0.07 | |
| # 3 3 0.15 -0.04 -0.06 |
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| #!/usr/local/bin/python | |
| "text-based Blackjack program. One player, one dealer; dealer hits to 17." | |
| import random | |
| import sys | |
| class Card(object): | |
| "Represents a playing card. Used here in DECK." | |
| def __init__(self, name, value, suit, index): | |
| self.name = name | |
| self.value = value |