From 45f12ba19761024d335407793ffb8d4823b28149 Mon Sep 17 00:00:00 2001
From: justanothercatgirl <sotov2070@gmail.com>
Date: Tue, 15 Apr 2025 00:51:40 +0300
Subject: Started doing 207

---
 libprakpp/include/praktable.hpp | 32 ++++++++++++++++++++------------
 1 file changed, 20 insertions(+), 12 deletions(-)

(limited to 'libprakpp/include/praktable.hpp')

diff --git a/libprakpp/include/praktable.hpp b/libprakpp/include/praktable.hpp
index f00e7b9..1870ec6 100644
--- a/libprakpp/include/praktable.hpp
+++ b/libprakpp/include/praktable.hpp
@@ -222,6 +222,14 @@ public:
 		return data.at(names.size() * row + column);
 	}
 
+	const dtype & SUBSCR_OPRTR (const std::string &column, size_t row) const noexcept(false) {
+		size_t i = index(column);
+		return data.at(names.size() * row + index(column));
+	}
+
+	const dtype & SUBSCR_OPRTR (size_t column, size_t row) const {
+		return data.at(names.size() * row + column);
+	}
 	// prints a table. defaults to using std::cout, but any std::ostream can be passed in it.
 	void print(std::ostream &stream = std::cout) const {
 		stream << "columns: " << columns << ", rows: " << rows << std::endl;
@@ -493,7 +501,7 @@ public:
 
 	// returns an std::pair with coefficients A and B in that order
 	std::pair<prak::pvalue<dtype>, prak::pvalue<dtype>> 
-	least_squares_linear(std::string x, std::string y, std::optional<std::string> sigma, std::optional<dtype> sigma_fixed) 
+	least_squares_linear(std::string x, std::string y, std::optional<std::string> sigma, std::optional<dtype> sigma_fixed) const
 	noexcept(false) {
 		if (sigma.has_value() == sigma_fixed.has_value()) 
 			throw std::invalid_argument("sigma and sigma_fixed can't both have (no) value");
@@ -501,9 +509,9 @@ public:
 		prak::vector<dtype> _y(rows);
 		prak::vector<dtype> _s(rows);
 
-		std::copy(begin(x), end(x), _x.begin());
-		std::copy(begin(y), end(y), _y.begin());
-		if (sigma.has_value()) std::copy(begin(*sigma), end(*sigma), _s.begin());
+		std::copy(cbegin(x), cend(x), _x.begin());
+		std::copy(cbegin(y), cend(y), _y.begin());
+		if (sigma.has_value()) std::copy(cbegin(*sigma), cend(*sigma), _s.begin());
 		else _s = prak::vector<dtype>(rows, static_cast<dtype>(*sigma_fixed));
 
 		std::pair<prak::pvalue<dtype>, prak::pvalue<dtype>> ret;
@@ -512,31 +520,31 @@ public:
 	}
 
 	// calculate an average of the column 
-	dtype col_avg(const std::string &column) {
+	dtype col_avg(const std::string &column) const {
 		dtype accum = dtype{};
-		for (auto it = begin(column); it != end(column); ++it) 
+		for (auto it = cbegin(column); it != cend(column); ++it) 
 			accum += *it;
 		return accum / rows;
 	}
 
-	dtype col_max(const std::string &column) {
+	dtype col_max(const std::string &column) const {
 		dtype max = dtype{};
-		for (auto it = begin(column); it != end(column); ++it) 
+		for (auto it = cbegin(column); it != cend(column); ++it) 
 			max = max < *it ? *it : max;
 		return max;
 	}
-	dtype col_min(const std::string &column) {
+	dtype col_min(const std::string &column) const {
 		dtype min = dtype{};
-		for (auto it = begin(column); it != end(column); ++it) 
+		for (auto it = cbegin(column); it != cend(column); ++it) 
 			min = min > *it ? *it : min;
 		return min;
 	}
 
 	// calculate standard deviation of the column
-	dtype col_stddev(const std::string &column) {
+	dtype col_stddev(const std::string &column) const {
 		dtype accum = dtype{};
 		dtype avg = col_avg(column);
-		for (auto it = begin(column); it != end(column); ++it)
+		for (auto it = cbegin(column); it != cend(column); ++it)
 			accum += (*it - avg)*(*it - avg);
 		return std::sqrt(accum / rows);
 	}
-- 
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