Проведены все тестирования

ProninVV/aufgabe-1-data-structures/graphiki.py

@@ -0,0 +1,35 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+from matplotlib.ticker import AutoMinorLocator
+import numpy as np
+from scipy.interpolate import interp1d, CubicSpline
+from scipy.optimize import curve_fit
+from numpy.polynomial import Polynomial
+
+
+df = pd.read_csv("timedata_500.csv")
+print(df)
+
+
+
+# построение графика
+# fig, ax = plt.subplots(figsize=(8, 5))
+
+
+
+
+# ax.set_title("График зависимости фазы от частоты(сх5)")
+# ax.set_xlabel("v, Hz")        
+# ax.set_ylabel("phi, rad")
+# ax.grid(which="major", linewidth=1.5)
+# ax.grid(which="minor", color="gray", linewidth=0.5)
+# ax.xaxis.set_minor_locator(AutoMinorLocator())
+# ax.yaxis.set_minor_locator(AutoMinorLocator())
+# ax.axhline(y=0, color='black', linewidth=1, linestyle='-', alpha=0.7)  # Ось X (U=0)
+# ax.axvline(x=0, color='black', linewidth=1, linestyle='-', alpha=0.7)  # Ось Y (B=0)
+# ax.plot(1, 0, ">k", transform=ax.get_yaxis_transform(), clip_on=False)
+# ax.plot(0, 1, "^k", transform=ax.get_xaxis_transform(), clip_on=False)
+# ax.legend()
+# plt.savefig('graphics\zadanie3.png', dpi=200)
+# plt.savefig('graphics\zadanie3.eps', dpi=200)
+# plt.show()

ProninVV/aufgabe-1-data-structures/report/document.aux

@@ -0,0 +1,14 @@
+\relax 
+\providecommand \babel@aux [2]{\global \let \babel@toc \@gobbletwo }
+\@nameuse{bbl@beforestart}
+\catcode `"\active 
+\babel@aux{russian}{}
+\@writefile{toc}{\contentsline {section}{\numberline {1}Введение}{2}{}\protected@file@percent }
+\@writefile{toc}{\contentsline {section}{\numberline {2}Реализация структур данных}{2}{}\protected@file@percent }
+\@writefile{toc}{\contentsline {subsection}{\numberline {2.1}Связный список}{3}{}\protected@file@percent }
+\@writefile{toc}{\contentsline {subsection}{\numberline {2.2}Хеш-таблица}{3}{}\protected@file@percent }
+\@writefile{toc}{\contentsline {subsection}{\numberline {2.3}Двоичное дерево поиска}{3}{}\protected@file@percent }
+\@writefile{toc}{\contentsline {section}{\numberline {3}Методика эксперимента}{3}{}\protected@file@percent }
+\@writefile{toc}{\contentsline {section}{\numberline {4}Результаты и анализ}{3}{}\protected@file@percent }
+\@writefile{toc}{\contentsline {section}{\numberline {5}Заключение}{3}{}\protected@file@percent }
+\gdef \@abspage@last{4}

ProninVV/aufgabe-1-data-structures/report/document.tex

@@ -5,4 +5,56 @@
 
 \begin{document}
 	
-\end{document}
+	% --- ТИТУЛЬНЫЙ ЛИСТ (упрощенно) ---
+	\begin{titlepage}
+		\centering
+		МИНИСТЕРСТВО НАУКИ И ВЫСШЕГО ОБРАЗОВАНИЯ РФ \\
+		«Национальный исследовательский Нижегородский государственный университет им. Н.И. Лобачевского» \\
+		\vspace{4cm}
+		\Large ОТЧЕТ К ЛАБОРАТОРНОЙ РАБОТЕ \\
+		\vspace{1cm}
+		\large «Реализация и экспериментальное сравнение базовых структур данных на примере телефонного справочника» \\
+		\vspace{4cm}
+		\flushright
+		Выполнил: студент В. В. Пронин \\
+		Преподаватель: Н. С. Морозов \\
+		\vfill
+		Нижний Новгород \\
+		2024
+	\end{titlepage}
+	
+	\newpage
+	\tableofcontents
+	\newpage
+	
+	\section{Введение}
+	
+	Эффективность программных систем во многом определяется выбором способов организации данных в оперативной памяти. Задача разработки телефонного справочника является классическим примером, требующим баланса между скоростью вставки новых записей, поиском по ключу и эффективным удалением.
+	
+	В рамках данной работы исследуются три фундаментальные структуры данных, реализованные «с нуля» в процедурной парадигме программирования на языке Python:
+	\begin{itemize}
+		\item \textbf{Связный список (Linked List)} --- динамическая структура, позволяющая оценить базовые механизмы управления указателями и демонстрирующая линейную сложность операций $O(n)$.
+		\item \textbf{Хеш-таблица (Hash Table)} --- ассоциативный массив, использующий хеширование для обеспечения прямого доступа к данным. Реализация позволяет изучить методы разрешения коллизий и преимущества константной сложности $O(1)$.
+		\item \textbf{Двоичное дерево поиска (BST)} --- иерархическая структура, обеспечивающая логарифмическую скорость доступа $O(\log n)$ и поддерживающая упорядоченность данных «из коробки».
+	\end{itemize}
+	
+	\textbf{Цель работы:} Изучить внутренние алгоритмы работы перечисленных структур, реализовать их без использования встроенных высокоуровневых контейнеров и экспериментально подтвердить теоретические оценки временной сложности на случайных и отсортированных наборах данных.
+	
+	\section{Реализация структур данных}
+	\subsection{Связный список}
+	% Здесь опишите логику ll_insert, ll_find и ll_delete
+	\subsection{Хеш-таблица}
+	% Опишите хеш-функцию и метод цепочек
+	\subsection{Двоичное дерево поиска}
+	% Опишите рекурсивные алгоритмы и проблему деградации
+	
+	\section{Методика эксперимента}
+	Замеры производились для наборов данных объемом $N=500, 1000, 2000, 5000, 10000$ элементов. Использовались два сценария: перемешанные (\textit{shuffled}) и отсортированные по алфавиту (\textit{sorted}) записи. Каждая операция выполнялась 5 раз с последующим вычислением среднего арифметического значения с помощью функции \texttt{time.perf\_counter()}.
+	
+	\section{Результаты и анализ}
+	Было проведено 5 опытов. 
+	
+	\section{Заключение}
+	% Ответ на вопрос о выборе структуры в реальной жизни
+	
+\end{document}

ProninVV/aufgabe-1-data-structures/report/document.toc

@@ -0,0 +1,9 @@
+\babel@toc {russian}{}\relax 
+\contentsline {section}{\numberline {1}Введение}{2}{}%
+\contentsline {section}{\numberline {2}Реализация структур данных}{2}{}%
+\contentsline {subsection}{\numberline {2.1}Связный список}{3}{}%
+\contentsline {subsection}{\numberline {2.2}Хеш-таблица}{3}{}%
+\contentsline {subsection}{\numberline {2.3}Двоичное дерево поиска}{3}{}%
+\contentsline {section}{\numberline {3}Методика эксперимента}{3}{}%
+\contentsline {section}{\numberline {4}Результаты и анализ}{3}{}%
+\contentsline {section}{\numberline {5}Заключение}{3}{}%

ProninVV/aufgabe-1-data-structures/results/timedata_10000_epochs_1.csv

@@ -0,0 +1,19 @@
+Структура,Режим,Операция,Время (сек)
+linklist,shuffled,insert,2.782739200000151
+linklist,shuffled,find,0.02841449999982615
+linklist,shuffled,delete,0.017126199999893288
+hashtable,shuffled,insert,0.16509029999997438
+hashtable,shuffled,find,0.0015667000000121334
+hashtable,shuffled,delete,0.0010061999998924875
+bintree,shuffled,insert,0.029216299999916373
+bintree,shuffled,find,0.00019760000009227952
+bintree,shuffled,delete,9.999999997489795e-05
+linklist,sorted,insert,2.9697724000000107
+linklist,sorted,find,0.03141989999994621
+linklist,sorted,delete,0.017261300000200208
+hashtable,sorted,insert,0.15989070000000538
+hashtable,sorted,find,0.0013437999998586747
+hashtable,sorted,delete,0.0009281000000100903
+bintree,sorted,insert,12.572322799999938
+bintree,sorted,find,0.08066770000004908
+bintree,sorted,delete,0.04145149999999376

ProninVV/aufgabe-1-data-structures/results/timedata_10000_epochs_2.csv

@@ -0,0 +1,37 @@
+Структура,Режим,Операция,Время (сек)
+linklist,shuffled,insert,2.782739200000151
+linklist,shuffled,find,0.02841449999982615
+linklist,shuffled,delete,0.017126199999893288
+hashtable,shuffled,insert,0.16509029999997438
+hashtable,shuffled,find,0.0015667000000121334
+hashtable,shuffled,delete,0.0010061999998924875
+bintree,shuffled,insert,0.029216299999916373
+bintree,shuffled,find,0.00019760000009227952
+bintree,shuffled,delete,9.999999997489795e-05
+linklist,sorted,insert,2.9697724000000107
+linklist,sorted,find,0.03141989999994621
+linklist,sorted,delete,0.017261300000200208
+hashtable,sorted,insert,0.15989070000000538
+hashtable,sorted,find,0.0013437999998586747
+hashtable,sorted,delete,0.0009281000000100903
+bintree,sorted,insert,12.572322799999938
+bintree,sorted,find,0.08066770000004908
+bintree,sorted,delete,0.04145149999999376
+linklist,shuffled,insert,2.8089506999999685
+linklist,shuffled,find,0.02784990000009202
+linklist,shuffled,delete,0.017817200000081357
+hashtable,shuffled,insert,0.1651635000000624
+hashtable,shuffled,find,0.0013243000000784377
+hashtable,shuffled,delete,0.0009821999999530817
+bintree,shuffled,insert,0.03208109999991393
+bintree,shuffled,find,0.00019399999996494444
+bintree,shuffled,delete,0.00010320000001229346
+linklist,sorted,insert,3.044036700000106
+linklist,sorted,find,0.031643499999972846
+linklist,sorted,delete,0.020140200000014374
+hashtable,sorted,insert,0.16446429999996326
+hashtable,sorted,find,0.00157960000001367
+hashtable,sorted,delete,0.0008308999999826483
+bintree,sorted,insert,13.140304800000195
+bintree,sorted,find,0.08615729999996802
+bintree,sorted,delete,0.04601840000009361

ProninVV/aufgabe-1-data-structures/results/timedata_10000_epochs_3.csv

@@ -0,0 +1,55 @@
+Структура,Режим,Операция,Время (сек)
+linklist,shuffled,insert,2.782739200000151
+linklist,shuffled,find,0.02841449999982615
+linklist,shuffled,delete,0.017126199999893288
+hashtable,shuffled,insert,0.16509029999997438
+hashtable,shuffled,find,0.0015667000000121334
+hashtable,shuffled,delete,0.0010061999998924875
+bintree,shuffled,insert,0.029216299999916373
+bintree,shuffled,find,0.00019760000009227952
+bintree,shuffled,delete,9.999999997489795e-05
+linklist,sorted,insert,2.9697724000000107
+linklist,sorted,find,0.03141989999994621
+linklist,sorted,delete,0.017261300000200208
+hashtable,sorted,insert,0.15989070000000538
+hashtable,sorted,find,0.0013437999998586747
+hashtable,sorted,delete,0.0009281000000100903
+bintree,sorted,insert,12.572322799999938
+bintree,sorted,find,0.08066770000004908
+bintree,sorted,delete,0.04145149999999376
+linklist,shuffled,insert,2.8089506999999685
+linklist,shuffled,find,0.02784990000009202
+linklist,shuffled,delete,0.017817200000081357
+hashtable,shuffled,insert,0.1651635000000624
+hashtable,shuffled,find,0.0013243000000784377
+hashtable,shuffled,delete,0.0009821999999530817
+bintree,shuffled,insert,0.03208109999991393
+bintree,shuffled,find,0.00019399999996494444
+bintree,shuffled,delete,0.00010320000001229346
+linklist,sorted,insert,3.044036700000106
+linklist,sorted,find,0.031643499999972846
+linklist,sorted,delete,0.020140200000014374
+hashtable,sorted,insert,0.16446429999996326
+hashtable,sorted,find,0.00157960000001367
+hashtable,sorted,delete,0.0008308999999826483
+bintree,sorted,insert,13.140304800000195
+bintree,sorted,find,0.08615729999996802
+bintree,sorted,delete,0.04601840000009361
+linklist,shuffled,insert,2.945842599999878
+linklist,shuffled,find,0.029246199999988676
+linklist,shuffled,delete,0.013797999999951571
+hashtable,shuffled,insert,0.1665319000001091
+hashtable,shuffled,find,0.0016982000001917186
+hashtable,shuffled,delete,0.0010231999999632535
+bintree,shuffled,insert,0.03277969999999186
+bintree,shuffled,find,0.00019599999995989492
+bintree,shuffled,delete,9.520000003249152e-05
+linklist,sorted,insert,3.1097526999999445
+linklist,sorted,find,0.031071099999962826
+linklist,sorted,delete,0.014640099999951417
+hashtable,sorted,insert,0.1684456999998929
+hashtable,sorted,find,0.0013269000000946107
+hashtable,sorted,delete,0.0009365000000798318
+bintree,sorted,insert,13.633440899999869
+bintree,sorted,find,0.08262280000008104
+bintree,sorted,delete,0.047804300000052535

ProninVV/aufgabe-1-data-structures/results/timedata_10000_epochs_4.csv

@@ -0,0 +1,73 @@
+Структура,Режим,Операция,Время (сек)
+linklist,shuffled,insert,2.782739200000151
+linklist,shuffled,find,0.02841449999982615
+linklist,shuffled,delete,0.017126199999893288
+hashtable,shuffled,insert,0.16509029999997438
+hashtable,shuffled,find,0.0015667000000121334
+hashtable,shuffled,delete,0.0010061999998924875
+bintree,shuffled,insert,0.029216299999916373
+bintree,shuffled,find,0.00019760000009227952
+bintree,shuffled,delete,9.999999997489795e-05
+linklist,sorted,insert,2.9697724000000107
+linklist,sorted,find,0.03141989999994621
+linklist,sorted,delete,0.017261300000200208
+hashtable,sorted,insert,0.15989070000000538
+hashtable,sorted,find,0.0013437999998586747
+hashtable,sorted,delete,0.0009281000000100903
+bintree,sorted,insert,12.572322799999938
+bintree,sorted,find,0.08066770000004908
+bintree,sorted,delete,0.04145149999999376
+linklist,shuffled,insert,2.8089506999999685
+linklist,shuffled,find,0.02784990000009202
+linklist,shuffled,delete,0.017817200000081357
+hashtable,shuffled,insert,0.1651635000000624
+hashtable,shuffled,find,0.0013243000000784377
+hashtable,shuffled,delete,0.0009821999999530817
+bintree,shuffled,insert,0.03208109999991393
+bintree,shuffled,find,0.00019399999996494444
+bintree,shuffled,delete,0.00010320000001229346
+linklist,sorted,insert,3.044036700000106
+linklist,sorted,find,0.031643499999972846
+linklist,sorted,delete,0.020140200000014374
+hashtable,sorted,insert,0.16446429999996326
+hashtable,sorted,find,0.00157960000001367
+hashtable,sorted,delete,0.0008308999999826483
+bintree,sorted,insert,13.140304800000195
+bintree,sorted,find,0.08615729999996802
+bintree,sorted,delete,0.04601840000009361
+linklist,shuffled,insert,2.945842599999878
+linklist,shuffled,find,0.029246199999988676
+linklist,shuffled,delete,0.013797999999951571
+hashtable,shuffled,insert,0.1665319000001091
+hashtable,shuffled,find,0.0016982000001917186
+hashtable,shuffled,delete,0.0010231999999632535
+bintree,shuffled,insert,0.03277969999999186
+bintree,shuffled,find,0.00019599999995989492
+bintree,shuffled,delete,9.520000003249152e-05
+linklist,sorted,insert,3.1097526999999445
+linklist,sorted,find,0.031071099999962826
+linklist,sorted,delete,0.014640099999951417
+hashtable,sorted,insert,0.1684456999998929
+hashtable,sorted,find,0.0013269000000946107
+hashtable,sorted,delete,0.0009365000000798318
+bintree,sorted,insert,13.633440899999869
+bintree,sorted,find,0.08262280000008104
+bintree,sorted,delete,0.047804300000052535
+linklist,shuffled,insert,2.964872099999866
+linklist,shuffled,find,0.03182870000000548
+linklist,shuffled,delete,0.017259199999898556
+hashtable,shuffled,insert,0.16710669999997663
+hashtable,shuffled,find,0.0014896000000135246
+hashtable,shuffled,delete,0.0008898999999473745
+bintree,shuffled,insert,0.03065240000000813
+bintree,shuffled,find,0.00018540000019129366
+bintree,shuffled,delete,9.350000004815229e-05
+linklist,sorted,insert,3.1079067999999097
+linklist,sorted,find,0.030048300000089512
+linklist,sorted,delete,0.01808290000008128
+hashtable,sorted,insert,0.16873430000009648
+hashtable,sorted,find,0.0015441000000464555
+hashtable,sorted,delete,0.0008356999999250547
+bintree,sorted,insert,14.05993320000016
+bintree,sorted,find,0.08479450000004363
+bintree,sorted,delete,0.04840820000003987

ProninVV/aufgabe-1-data-structures/results/timedata_10000_epochs_5.csv

@@ -0,0 +1,91 @@
+Структура,Режим,Операция,Время (сек)
+linklist,shuffled,insert,2.782739200000151
+linklist,shuffled,find,0.02841449999982615
+linklist,shuffled,delete,0.017126199999893288
+hashtable,shuffled,insert,0.16509029999997438
+hashtable,shuffled,find,0.0015667000000121334
+hashtable,shuffled,delete,0.0010061999998924875
+bintree,shuffled,insert,0.029216299999916373
+bintree,shuffled,find,0.00019760000009227952
+bintree,shuffled,delete,9.999999997489795e-05
+linklist,sorted,insert,2.9697724000000107
+linklist,sorted,find,0.03141989999994621
+linklist,sorted,delete,0.017261300000200208
+hashtable,sorted,insert,0.15989070000000538
+hashtable,sorted,find,0.0013437999998586747
+hashtable,sorted,delete,0.0009281000000100903
+bintree,sorted,insert,12.572322799999938
+bintree,sorted,find,0.08066770000004908
+bintree,sorted,delete,0.04145149999999376
+linklist,shuffled,insert,2.8089506999999685
+linklist,shuffled,find,0.02784990000009202
+linklist,shuffled,delete,0.017817200000081357
+hashtable,shuffled,insert,0.1651635000000624
+hashtable,shuffled,find,0.0013243000000784377
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+bintree,shuffled,insert,0.03208109999991393
+bintree,shuffled,find,0.00019399999996494444
+bintree,shuffled,delete,0.00010320000001229346
+linklist,sorted,insert,3.044036700000106
+linklist,sorted,find,0.031643499999972846
+linklist,sorted,delete,0.020140200000014374
+hashtable,sorted,insert,0.16446429999996326
+hashtable,sorted,find,0.00157960000001367
+hashtable,sorted,delete,0.0008308999999826483
+bintree,sorted,insert,13.140304800000195
+bintree,sorted,find,0.08615729999996802
+bintree,sorted,delete,0.04601840000009361
+linklist,shuffled,insert,2.945842599999878
+linklist,shuffled,find,0.029246199999988676
+linklist,shuffled,delete,0.013797999999951571
+hashtable,shuffled,insert,0.1665319000001091
+hashtable,shuffled,find,0.0016982000001917186
+hashtable,shuffled,delete,0.0010231999999632535
+bintree,shuffled,insert,0.03277969999999186
+bintree,shuffled,find,0.00019599999995989492
+bintree,shuffled,delete,9.520000003249152e-05
+linklist,sorted,insert,3.1097526999999445
+linklist,sorted,find,0.031071099999962826
+linklist,sorted,delete,0.014640099999951417
+hashtable,sorted,insert,0.1684456999998929
+hashtable,sorted,find,0.0013269000000946107
+hashtable,sorted,delete,0.0009365000000798318
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+linklist,shuffled,delete,0.017259199999898556
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+hashtable,shuffled,delete,0.0008898999999473745
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+bintree,shuffled,find,0.00018540000019129366
+bintree,shuffled,delete,9.350000004815229e-05
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ProninVV/aufgabe-1-data-structures/results/timedata_1000_epochs_1.csv

@@ -0,0 +1,19 @@
+Структура,Режим,Операция,Время (сек)
+linklist,shuffled,insert,0.02726340000003802
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ProninVV/aufgabe-1-data-structures/results/timedata_1000_epochs_2.csv

@@ -0,0 +1,37 @@
+Структура,Режим,Операция,Время (сек)
+linklist,shuffled,insert,0.02726340000003802
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ProninVV/aufgabe-1-data-structures/results/timedata_1000_epochs_3.csv

@@ -0,0 +1,55 @@
+Структура,Режим,Операция,Время (сек)
+linklist,shuffled,insert,0.02726340000003802
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ProninVV/aufgabe-1-data-structures/results/timedata_1000_epochs_4.csv

@@ -0,0 +1,73 @@
+Структура,Режим,Операция,Время (сек)
+linklist,shuffled,insert,0.02726340000003802
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ProninVV/aufgabe-1-data-structures/results/timedata_1000_epochs_5.csv

@@ -0,0 +1,91 @@
+Структура,Режим,Операция,Время (сек)
+linklist,shuffled,insert,0.02726340000003802
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ProninVV/aufgabe-1-data-structures/results/timedata_2000_epochs_1.csv

@@ -0,0 +1,19 @@
+Структура,Режим,Операция,Время (сек)
+linklist,shuffled,insert,0.11765650000006644
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ProninVV/aufgabe-1-data-structures/results/timedata_2000_epochs_2.csv

@@ -0,0 +1,37 @@
+Структура,Режим,Операция,Время (сек)
+linklist,shuffled,insert,0.11765650000006644
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ProninVV/aufgabe-1-data-structures/results/timedata_2000_epochs_3.csv

@@ -0,0 +1,55 @@
+Структура,Режим,Операция,Время (сек)
+linklist,shuffled,insert,0.11765650000006644
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ProninVV/aufgabe-1-data-structures/results/timedata_2000_epochs_4.csv

@@ -0,0 +1,73 @@
+Структура,Режим,Операция,Время (сек)
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ProninVV/aufgabe-1-data-structures/results/timedata_2000_epochs_5.csv

@@ -0,0 +1,91 @@
+Структура,Режим,Операция,Время (сек)
+linklist,shuffled,insert,0.11765650000006644
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ProninVV/aufgabe-1-data-structures/results/timedata_5000_epochs_1.csv

@@ -0,0 +1,19 @@
+Структура,Режим,Операция,Время (сек)
+linklist,shuffled,insert,0.8840434000001096
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ProninVV/aufgabe-1-data-structures/results/timedata_5000_epochs_2.csv

@@ -0,0 +1,37 @@
+Структура,Режим,Операция,Время (сек)
+linklist,shuffled,insert,0.8840434000001096
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+linklist,shuffled,delete,0.012760500000013053
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+bintree,sorted,delete,0.02172100000007049

ProninVV/aufgabe-1-data-structures/results/timedata_5000_epochs_3.csv

@@ -0,0 +1,55 @@
+Структура,Режим,Операция,Время (сек)
+linklist,shuffled,insert,0.8840434000001096
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ProninVV/aufgabe-1-data-structures/results/timedata_5000_epochs_4.csv

@@ -0,0 +1,73 @@
+Структура,Режим,Операция,Время (сек)
+linklist,shuffled,insert,0.8840434000001096
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ProninVV/aufgabe-1-data-structures/results/timedata_5000_epochs_5.csv

@@ -0,0 +1,91 @@
+Структура,Режим,Операция,Время (сек)
+linklist,shuffled,insert,0.8840434000001096
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+bintree,shuffled,delete,0.00010059999999612046
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+linklist,sorted,find,0.015590499999916574
+linklist,sorted,delete,0.011120600000140257
+hashtable,sorted,insert,0.05178969999997207
+hashtable,sorted,find,0.0007823999999345688
+hashtable,sorted,delete,0.0004929000001538952
+bintree,sorted,insert,3.2450708999999733
+bintree,sorted,find,0.043419200000016644
+bintree,sorted,delete,0.020965700000033394
+linklist,shuffled,insert,0.857289000000037
+linklist,shuffled,find,0.01596849999987171
+linklist,shuffled,delete,0.010894000000007509
+hashtable,shuffled,insert,0.05171439999980976
+hashtable,shuffled,find,0.0008769999999458378
+hashtable,shuffled,delete,0.0006730000000061409
+bintree,shuffled,insert,0.014693800000031843
+bintree,shuffled,find,0.0001724999999623833
+bintree,shuffled,delete,9.330000011686934e-05
+linklist,sorted,insert,0.8638034000000516
+linklist,sorted,find,0.016234899999972185
+linklist,sorted,delete,0.008574899999985064
+hashtable,sorted,insert,0.05052829999999631
+hashtable,sorted,find,0.0008261000000402419
+hashtable,sorted,delete,0.0006920000000718574
+bintree,sorted,insert,3.3420926000001145
+bintree,sorted,find,0.0381296000000475
+bintree,sorted,delete,0.02172100000007049
+linklist,shuffled,insert,0.8913317000001371
+linklist,shuffled,find,0.016817799999898853
+linklist,shuffled,delete,0.011490999999978158
+hashtable,shuffled,insert,0.05452530000002298
+hashtable,shuffled,find,0.0008067000001119595
+hashtable,shuffled,delete,0.000680299999885392
+bintree,shuffled,insert,0.013919199999918419
+bintree,shuffled,find,0.00017759999991540099
+bintree,shuffled,delete,8.830000001580629e-05
+linklist,sorted,insert,0.8753541000000951
+linklist,sorted,find,0.0159900999999536
+linklist,sorted,delete,0.01208649999989575
+hashtable,sorted,insert,0.05042969999999514
+hashtable,sorted,find,0.0008533000000170432
+hashtable,sorted,delete,0.000575400000116133
+bintree,sorted,insert,3.375004499999932
+bintree,sorted,find,0.04208429999994223
+bintree,sorted,delete,0.018999199999825578
+linklist,shuffled,insert,0.8799220999999307
+linklist,shuffled,find,0.016121000000111962
+linklist,shuffled,delete,0.01178869999989729
+hashtable,shuffled,insert,0.05164659999991272
+hashtable,shuffled,find,0.0008789000000888336
+hashtable,shuffled,delete,0.0006389000000126543
+bintree,shuffled,insert,0.014388499999995474
+bintree,shuffled,find,0.00019010000005437178
+bintree,shuffled,delete,0.00010780000002341694
+linklist,sorted,insert,0.8983690000000024
+linklist,sorted,find,0.01792299999988245
+linklist,sorted,delete,0.010463699999945675
+hashtable,sorted,insert,0.05331300000011652
+hashtable,sorted,find,0.0008979000001545501
+hashtable,sorted,delete,0.0006045000000085565
+bintree,sorted,insert,3.5323379999999815
+bintree,sorted,find,0.03992799999991803
+bintree,sorted,delete,0.02302389999999832
+linklist,shuffled,insert,0.8870864000000438
+linklist,shuffled,find,0.016829599999937273
+linklist,shuffled,delete,0.01141009999992093
+hashtable,shuffled,insert,0.05397369999991497
+hashtable,shuffled,find,0.0007955000000947621
+hashtable,shuffled,delete,0.0005891999999221298
+bintree,shuffled,insert,0.014814899999919362
+bintree,shuffled,find,0.00018130000012206438
+bintree,shuffled,delete,9.93000001017208e-05
+linklist,sorted,insert,0.882646399999885
+linklist,sorted,find,0.017165100000056555
+linklist,sorted,delete,0.01109220000012101
+hashtable,sorted,insert,0.0507878000000801
+hashtable,sorted,find,0.0007728000000497559
+hashtable,sorted,delete,0.0005814000001009845
+bintree,sorted,insert,3.430517699999882
+bintree,sorted,find,0.042424999999866486
+bintree,sorted,delete,0.02323249999994914

ProninVV/aufgabe-1-data-structures/results/timedata_500_epochs_1.csv

@@ -0,0 +1,19 @@
+Структура,Режим,Операция,Время (сек)
+linklist,shuffled,insert,0.007536800000025323
+linklist,shuffled,find,0.001323599999977887
+linklist,shuffled,delete,0.0008946000000378262
+hashtable,shuffled,insert,0.0007929999999305437
+hashtable,shuffled,find,0.00013159999980416615
+hashtable,shuffled,delete,7.550000009359792e-05
+bintree,shuffled,insert,0.0009512999999969907
+bintree,shuffled,find,0.00012689999994108803
+bintree,shuffled,delete,6.34000000445667e-05
+linklist,sorted,insert,0.007563499999832857
+linklist,sorted,find,0.0014433999999710068
+linklist,sorted,delete,0.0008566999999857217
+hashtable,sorted,insert,0.0007736000000022614
+hashtable,sorted,find,0.00012749999996231054
+hashtable,sorted,delete,7.869999990361976e-05
+bintree,sorted,insert,0.029542800000172065
+bintree,sorted,find,0.003590200000189725
+bintree,sorted,delete,0.0015743000001293694

ProninVV/aufgabe-1-data-structures/results/timedata_500_epochs_2.csv

@@ -0,0 +1,37 @@
+Структура,Режим,Операция,Время (сек)
+linklist,shuffled,insert,0.007536800000025323
+linklist,shuffled,find,0.001323599999977887
+linklist,shuffled,delete,0.0008946000000378262
+hashtable,shuffled,insert,0.0007929999999305437
+hashtable,shuffled,find,0.00013159999980416615
+hashtable,shuffled,delete,7.550000009359792e-05
+bintree,shuffled,insert,0.0009512999999969907
+bintree,shuffled,find,0.00012689999994108803
+bintree,shuffled,delete,6.34000000445667e-05
+linklist,sorted,insert,0.007563499999832857
+linklist,sorted,find,0.0014433999999710068
+linklist,sorted,delete,0.0008566999999857217
+hashtable,sorted,insert,0.0007736000000022614
+hashtable,sorted,find,0.00012749999996231054
+hashtable,sorted,delete,7.869999990361976e-05
+bintree,sorted,insert,0.029542800000172065
+bintree,sorted,find,0.003590200000189725
+bintree,sorted,delete,0.0015743000001293694
+linklist,shuffled,insert,0.007518300000128875
+linklist,shuffled,find,0.0013639999999668362
+linklist,shuffled,delete,0.0009066999998594838
+hashtable,shuffled,insert,0.000783899999987625
+hashtable,shuffled,find,0.0001336000000264903
+hashtable,shuffled,delete,9.610000006432529e-05
+bintree,shuffled,insert,0.0010454000000663655
+bintree,shuffled,find,0.0001326000001427019
+bintree,shuffled,delete,6.990000019868603e-05
+linklist,sorted,insert,0.007503799999994953
+linklist,sorted,find,0.0014437999998335727
+linklist,sorted,delete,0.00084259999994174
+hashtable,sorted,insert,0.0007637000001068373
+hashtable,sorted,find,0.00012930000002597808
+hashtable,sorted,delete,8.37000000046828e-05
+bintree,sorted,insert,0.0295118999999886
+bintree,sorted,find,0.00391500000000633
+bintree,sorted,delete,0.0016846999999415857

ProninVV/aufgabe-1-data-structures/results/timedata_500_epochs_3.csv

@@ -0,0 +1,55 @@
+Структура,Режим,Операция,Время (сек)
+linklist,shuffled,insert,0.007536800000025323
+linklist,shuffled,find,0.001323599999977887
+linklist,shuffled,delete,0.0008946000000378262
+hashtable,shuffled,insert,0.0007929999999305437
+hashtable,shuffled,find,0.00013159999980416615
+hashtable,shuffled,delete,7.550000009359792e-05
+bintree,shuffled,insert,0.0009512999999969907
+bintree,shuffled,find,0.00012689999994108803
+bintree,shuffled,delete,6.34000000445667e-05
+linklist,sorted,insert,0.007563499999832857
+linklist,sorted,find,0.0014433999999710068
+linklist,sorted,delete,0.0008566999999857217
+hashtable,sorted,insert,0.0007736000000022614
+hashtable,sorted,find,0.00012749999996231054
+hashtable,sorted,delete,7.869999990361976e-05
+bintree,sorted,insert,0.029542800000172065
+bintree,sorted,find,0.003590200000189725
+bintree,sorted,delete,0.0015743000001293694
+linklist,shuffled,insert,0.007518300000128875
+linklist,shuffled,find,0.0013639999999668362
+linklist,shuffled,delete,0.0009066999998594838
+hashtable,shuffled,insert,0.000783899999987625
+hashtable,shuffled,find,0.0001336000000264903
+hashtable,shuffled,delete,9.610000006432529e-05
+bintree,shuffled,insert,0.0010454000000663655
+bintree,shuffled,find,0.0001326000001427019
+bintree,shuffled,delete,6.990000019868603e-05
+linklist,sorted,insert,0.007503799999994953
+linklist,sorted,find,0.0014437999998335727
+linklist,sorted,delete,0.00084259999994174
+hashtable,sorted,insert,0.0007637000001068373
+hashtable,sorted,find,0.00012930000002597808
+hashtable,sorted,delete,8.37000000046828e-05
+bintree,sorted,insert,0.0295118999999886
+bintree,sorted,find,0.00391500000000633
+bintree,sorted,delete,0.0016846999999415857
+linklist,shuffled,insert,0.007431100000076185
+linklist,shuffled,find,0.00140449999980774
+linklist,shuffled,delete,0.0008401000000048953
+hashtable,shuffled,insert,0.0007734999999229331
+hashtable,shuffled,find,0.00012970000011591765
+hashtable,shuffled,delete,8.58000000789616e-05
+bintree,shuffled,insert,0.0008287999999083695
+bintree,shuffled,find,0.00011279999989710632
+bintree,shuffled,delete,5.8399999943503644e-05
+linklist,sorted,insert,0.007470900000043912
+linklist,sorted,find,0.0013275999999677879
+linklist,sorted,delete,0.0006739999998899293
+hashtable,sorted,insert,0.0007560999999896012
+hashtable,sorted,find,0.00012280000009923242
+hashtable,sorted,delete,7.559999994555255e-05
+bintree,sorted,insert,0.028921399999944697
+bintree,sorted,find,0.0038013999999293446
+bintree,sorted,delete,0.0016253999999662483

ProninVV/aufgabe-1-data-structures/results/timedata_500_epochs_4.csv

@@ -0,0 +1,73 @@
+Структура,Режим,Операция,Время (сек)
+linklist,shuffled,insert,0.007536800000025323
+linklist,shuffled,find,0.001323599999977887
+linklist,shuffled,delete,0.0008946000000378262
+hashtable,shuffled,insert,0.0007929999999305437
+hashtable,shuffled,find,0.00013159999980416615
+hashtable,shuffled,delete,7.550000009359792e-05
+bintree,shuffled,insert,0.0009512999999969907
+bintree,shuffled,find,0.00012689999994108803
+bintree,shuffled,delete,6.34000000445667e-05
+linklist,sorted,insert,0.007563499999832857
+linklist,sorted,find,0.0014433999999710068
+linklist,sorted,delete,0.0008566999999857217
+hashtable,sorted,insert,0.0007736000000022614
+hashtable,sorted,find,0.00012749999996231054
+hashtable,sorted,delete,7.869999990361976e-05
+bintree,sorted,insert,0.029542800000172065
+bintree,sorted,find,0.003590200000189725
+bintree,sorted,delete,0.0015743000001293694
+linklist,shuffled,insert,0.007518300000128875
+linklist,shuffled,find,0.0013639999999668362
+linklist,shuffled,delete,0.0009066999998594838
+hashtable,shuffled,insert,0.000783899999987625
+hashtable,shuffled,find,0.0001336000000264903
+hashtable,shuffled,delete,9.610000006432529e-05
+bintree,shuffled,insert,0.0010454000000663655
+bintree,shuffled,find,0.0001326000001427019
+bintree,shuffled,delete,6.990000019868603e-05
+linklist,sorted,insert,0.007503799999994953
+linklist,sorted,find,0.0014437999998335727
+linklist,sorted,delete,0.00084259999994174
+hashtable,sorted,insert,0.0007637000001068373
+hashtable,sorted,find,0.00012930000002597808
+hashtable,sorted,delete,8.37000000046828e-05
+bintree,sorted,insert,0.0295118999999886
+bintree,sorted,find,0.00391500000000633
+bintree,sorted,delete,0.0016846999999415857
+linklist,shuffled,insert,0.007431100000076185
+linklist,shuffled,find,0.00140449999980774
+linklist,shuffled,delete,0.0008401000000048953
+hashtable,shuffled,insert,0.0007734999999229331
+hashtable,shuffled,find,0.00012970000011591765
+hashtable,shuffled,delete,8.58000000789616e-05
+bintree,shuffled,insert,0.0008287999999083695
+bintree,shuffled,find,0.00011279999989710632
+bintree,shuffled,delete,5.8399999943503644e-05
+linklist,sorted,insert,0.007470900000043912
+linklist,sorted,find,0.0013275999999677879
+linklist,sorted,delete,0.0006739999998899293
+hashtable,sorted,insert,0.0007560999999896012
+hashtable,sorted,find,0.00012280000009923242
+hashtable,sorted,delete,7.559999994555255e-05
+bintree,sorted,insert,0.028921399999944697
+bintree,sorted,find,0.0038013999999293446
+bintree,sorted,delete,0.0016253999999662483
+linklist,shuffled,insert,0.007392999999865424
+linklist,shuffled,find,0.001462799999899289
+linklist,shuffled,delete,0.0009473000000070897
+hashtable,shuffled,insert,0.0008029999999052961
+hashtable,shuffled,find,0.00013379999995777325
+hashtable,shuffled,delete,8.63000000208558e-05
+bintree,shuffled,insert,0.0010287000000062108
+bintree,shuffled,find,0.00014250000003812602
+bintree,shuffled,delete,7.49000000723754e-05
+linklist,sorted,insert,0.0075411000000258355
+linklist,sorted,find,0.0014229000000796077
+linklist,sorted,delete,0.000850200000058976
+hashtable,sorted,insert,0.0007614000001012755
+hashtable,sorted,find,0.00012550000019473373
+hashtable,sorted,delete,8.35999999253545e-05
+bintree,sorted,insert,0.029133499999943524
+bintree,sorted,find,0.003761899999972229
+bintree,sorted,delete,0.0018574000000626256

ProninVV/aufgabe-1-data-structures/results/timedata_500_epochs_5.csv

@@ -0,0 +1,91 @@
+Структура,Режим,Операция,Время (сек)
+linklist,shuffled,insert,0.007536800000025323
+linklist,shuffled,find,0.001323599999977887
+linklist,shuffled,delete,0.0008946000000378262
+hashtable,shuffled,insert,0.0007929999999305437
+hashtable,shuffled,find,0.00013159999980416615
+hashtable,shuffled,delete,7.550000009359792e-05
+bintree,shuffled,insert,0.0009512999999969907
+bintree,shuffled,find,0.00012689999994108803
+bintree,shuffled,delete,6.34000000445667e-05
+linklist,sorted,insert,0.007563499999832857
+linklist,sorted,find,0.0014433999999710068
+linklist,sorted,delete,0.0008566999999857217
+hashtable,sorted,insert,0.0007736000000022614
+hashtable,sorted,find,0.00012749999996231054
+hashtable,sorted,delete,7.869999990361976e-05
+bintree,sorted,insert,0.029542800000172065
+bintree,sorted,find,0.003590200000189725
+bintree,sorted,delete,0.0015743000001293694
+linklist,shuffled,insert,0.007518300000128875
+linklist,shuffled,find,0.0013639999999668362
+linklist,shuffled,delete,0.0009066999998594838
+hashtable,shuffled,insert,0.000783899999987625
+hashtable,shuffled,find,0.0001336000000264903
+hashtable,shuffled,delete,9.610000006432529e-05
+bintree,shuffled,insert,0.0010454000000663655
+bintree,shuffled,find,0.0001326000001427019
+bintree,shuffled,delete,6.990000019868603e-05
+linklist,sorted,insert,0.007503799999994953
+linklist,sorted,find,0.0014437999998335727
+linklist,sorted,delete,0.00084259999994174
+hashtable,sorted,insert,0.0007637000001068373
+hashtable,sorted,find,0.00012930000002597808
+hashtable,sorted,delete,8.37000000046828e-05
+bintree,sorted,insert,0.0295118999999886
+bintree,sorted,find,0.00391500000000633
+bintree,sorted,delete,0.0016846999999415857
+linklist,shuffled,insert,0.007431100000076185
+linklist,shuffled,find,0.00140449999980774
+linklist,shuffled,delete,0.0008401000000048953
+hashtable,shuffled,insert,0.0007734999999229331
+hashtable,shuffled,find,0.00012970000011591765
+hashtable,shuffled,delete,8.58000000789616e-05
+bintree,shuffled,insert,0.0008287999999083695
+bintree,shuffled,find,0.00011279999989710632
+bintree,shuffled,delete,5.8399999943503644e-05
+linklist,sorted,insert,0.007470900000043912
+linklist,sorted,find,0.0013275999999677879
+linklist,sorted,delete,0.0006739999998899293
+hashtable,sorted,insert,0.0007560999999896012
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+hashtable,sorted,delete,7.559999994555255e-05
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+bintree,sorted,find,0.0038013999999293446
+bintree,sorted,delete,0.0016253999999662483
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+linklist,shuffled,find,0.001462799999899289
+linklist,shuffled,delete,0.0009473000000070897
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+hashtable,shuffled,find,0.00013379999995777325
+hashtable,shuffled,delete,8.63000000208558e-05
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+bintree,shuffled,find,0.00014250000003812602
+bintree,shuffled,delete,7.49000000723754e-05
+linklist,sorted,insert,0.0075411000000258355
+linklist,sorted,find,0.0014229000000796077
+linklist,sorted,delete,0.000850200000058976
+hashtable,sorted,insert,0.0007614000001012755
+hashtable,sorted,find,0.00012550000019473373
+hashtable,sorted,delete,8.35999999253545e-05
+bintree,sorted,insert,0.029133499999943524
+bintree,sorted,find,0.003761899999972229
+bintree,sorted,delete,0.0018574000000626256
+linklist,shuffled,insert,0.007443800000146439
+linklist,shuffled,find,0.0013801000000057684
+linklist,shuffled,delete,0.0007808999998815125
+hashtable,shuffled,insert,0.0007526000001689681
+hashtable,shuffled,find,0.00012589999982992595
+hashtable,shuffled,delete,8.610000008957286e-05
+bintree,shuffled,insert,0.0008611999999175168
+bintree,shuffled,find,0.00012399999991430377
+bintree,shuffled,delete,6.400000006578921e-05
+linklist,sorted,insert,0.007548199999973804
+linklist,sorted,find,0.0014118999999936932
+linklist,sorted,delete,0.000922799999898416
+hashtable,sorted,insert,0.0007697999999436433
+hashtable,sorted,find,0.00013519999993150122
+hashtable,sorted,delete,8.330000014211691e-05
+bintree,sorted,insert,0.02982120000001487
+bintree,sorted,find,0.003640599999926053
+bintree,sorted,delete,0.0017277000001740817

ProninVV/aufgabe-1-data-structures/test.py

@@ -34,110 +34,106 @@ def run_expirement(epoch=1, elements=1000):
     """ распределяем данные по трем структурам данных
     тестируем время операций (вставки, удаления, перебора) и записываем полученные результаты в файл """
 
-
-    # создаем данные 
-    records_sorted, records_shuffled = create_data(elements)
-
-    datasets = [
-    ("shuffled", records_shuffled),
-    ("sorted", records_sorted)]
-
-    # режим - случайный, соритрованный
-    
     header = ["Структура", "Режим", "Операция", "Время (сек)"]
     results = [header]
-
     
+    for j in range(epoch):
+        print(f"эпоха - {j+1}")
+        # создаем данные 
+        records_sorted, records_shuffled = create_data(elements)
 
-    # сразу будем обрабатывать и случайны и отсортированный данные
-    for label, arr in datasets:
+        datasets = [
+        ("shuffled", records_shuffled),
+        ("sorted", records_sorted)]
+        # сразу будем обрабатывать и случайны и отсортированный данные
+        for label, arr in datasets:
 
-        linklist = None
-        hashtab = hash_table(elements)
-        bintree = None
-    # заполнение связного списка
-        start = time.perf_counter()
-        for p in arr:
-            linklist = ll_insert(linklist, p[0], p[1])
-        end = time.perf_counter()
-        results.append(["linklist", label, "insert", end-start])
+            linklist = None
+            hashtab = hash_table(elements)
+            bintree = None
+        # заполнение связного списка
+            start = time.perf_counter()
+            for p in arr:
+                linklist = ll_insert(linklist, p[0], p[1])
+            end = time.perf_counter()
+            results.append(["linklist", label, "insert", end-start])
 
-    # поиск 110 имен в связном списке
-        # несуществующие данные
-        nonedata = [(f"None_{i}", phone_number_generate()) for i in range(10)]
-        # случайная комбинация 
-        chaossample = random.sample(arr, 100) + nonedata
-        start = time.perf_counter()
-        for p in chaossample:
-            ll_find(linklist, p[0])
-        end = time.perf_counter()
-        results.append(["linklist", label, "find", end-start])
+        # поиск 110 имен в связном списке
+            # несуществующие данные
+            nonedata = [(f"None_{i}", phone_number_generate()) for i in range(10)]
+            # случайная комбинация 
+            chaossample = random.sample(arr, 100) + nonedata
+            start = time.perf_counter()
+            for p in chaossample:
+                ll_find(linklist, p[0])
+            end = time.perf_counter()
+            results.append(["linklist", label, "find", end-start])
 
-    # удаление 50 имен в св писке
-        deldata = random.sample(arr, 50)
-        start = time.perf_counter()
-        for p in deldata:
-            ll_delete(linklist, p[0])
-        end = time.perf_counter()
-        results.append(["linklist", label, "delete", end-start])
+        # удаление 50 имен в св писке
+            deldata = random.sample(arr, 50)
+            start = time.perf_counter()
+            for p in deldata:
+                ll_delete(linklist, p[0])
+            end = time.perf_counter()
+            results.append(["linklist", label, "delete", end-start])
 
-    # заполнение хэш-тфблицы
-        start = time.perf_counter()
-        for p in arr:
-            ht_insert(hashtab, p[0], p[1])
-        end = time.perf_counter()
-        results.append(["hashtable", label, "insert", end-start])
+        # заполнение хэш-тфблицы
+            start = time.perf_counter()
+            for p in arr:
+                ht_insert(hashtab, p[0], p[1])
+            end = time.perf_counter()
+            results.append(["hashtable", label, "insert", end-start])
 
-    # поиск 110 имен в хэш таблице
-        # несуществующие данные
-        nonedata = [(f"None_{i}", phone_number_generate()) for i in range(10)]
-        # случайная комбинация 
-        chaossample = random.sample(arr, 100) + nonedata
-        start = time.perf_counter()
-        for p in chaossample:
-            ht_find(hashtab, p[0])
-        end = time.perf_counter()
-        results.append(["hashtable", label, "find", end-start])
+        # поиск 110 имен в хэш таблице
+            # несуществующие данные
+            nonedata = [(f"None_{i}", phone_number_generate()) for i in range(10)]
+            # случайная комбинация 
+            chaossample = random.sample(arr, 100) + nonedata
+            start = time.perf_counter()
+            for p in chaossample:
+                ht_find(hashtab, p[0])
+            end = time.perf_counter()
+            results.append(["hashtable", label, "find", end-start])
 
-    # удаление 50 имен в хэш таблице
-        deldata = random.sample(arr, 50)
-        start = time.perf_counter()
-        for p in deldata:
-            ht_delete(hashtab, p[0])
-        end = time.perf_counter()
-        results.append(["hashtable", label, "delete", end-start])
+        # удаление 50 имен в хэш таблице
+            deldata = random.sample(arr, 50)
+            start = time.perf_counter()
+            for p in deldata:
+                ht_delete(hashtab, p[0])
+            end = time.perf_counter()
+            results.append(["hashtable", label, "delete", end-start])
 
-    # заполнение дерева
-        start = time.perf_counter()
-        for p in arr:
-            bintree = bst_insert(bintree, p[0], p[1])
-        end = time.perf_counter()
-        results.append(["bintree", label, "insert", end-start])
+        # заполнение дерева
+            start = time.perf_counter()
+            for p in arr:
+                bintree = bst_insert(bintree, p[0], p[1])
+            end = time.perf_counter()
+            results.append(["bintree", label, "insert", end-start])
 
-    # поиск 110 имен в дереве
-        # несуществующие данные
-        nonedata = [(f"None_{i}", phone_number_generate()) for i in range(10)]
-        # случайная комбинация 
-        chaossample = random.sample(arr, 100) + nonedata
-        start = time.perf_counter()
-        for p in chaossample:
-            bst_find(bintree, p[0])
-        end = time.perf_counter()
-        results.append(["bintree", label, "find", end-start])
+        # поиск 110 имен в дереве
+            # несуществующие данные
+            nonedata = [(f"None_{i}", phone_number_generate()) for i in range(10)]
+            # случайная комбинация 
+            chaossample = random.sample(arr, 100) + nonedata
+            start = time.perf_counter()
+            for p in chaossample:
+                bst_find(bintree, p[0])
+            end = time.perf_counter()
+            results.append(["bintree", label, "find", end-start])
 
-    # удаление 50 имен в дереве
-        deldata = random.sample(arr, 50)
-        start = time.perf_counter()
-        for p in deldata:
-            bst_delete(bintree, p[0])
-        end = time.perf_counter()
-        results.append(["bintree", label, "delete", end-start])
+        # удаление 50 имен в дереве
+            deldata = random.sample(arr, 50)
+            start = time.perf_counter()
+            for p in deldata:
+                bst_delete(bintree, p[0])
+            end = time.perf_counter()
+            results.append(["bintree", label, "delete", end-start])
 
-
-    with open(f"timedata_{elements}.csv", mode='w', encoding='utf-8', newline='') as file:
-        writer = csv.writer(file)
-        writer.writerows(results)
+        filename = f"results/timedata_{elements}_epochs_{j+1}.csv"
+        with open(filename, mode='w', encoding='utf-8', newline='') as file:
+            writer = csv.writer(file)
+            writer.writerows(results)
 
 
 
-run_expirement(epoch=1, elements=10000)
+run_expirement(epoch=5, elements=10000)

ProninVV/aufgabe-1-data-structures/timedata_1000.csv

@@ -1,19 +0,0 @@
-Структура,Режим,Операция,Время (сек)
-linklist,shuffled,insert,0.028301300000748597
-linklist,shuffled,find,0.002832099999068305
-linklist,shuffled,delete,0.0018718999999691732
-hashtable,shuffled,insert,0.0022233999989111908
-hashtable,shuffled,find,0.00019609999799286015
-hashtable,shuffled,delete,9.929999941959977e-05
-bintree,shuffled,insert,0.002081000002362998
-bintree,shuffled,find,0.00014569999984814785
-bintree,shuffled,delete,7.760000153211877e-05
-linklist,sorted,insert,0.02792069999850355
-linklist,sorted,find,0.0024707999982638285
-linklist,sorted,delete,0.001741200001561083
-hashtable,sorted,insert,0.002176499998313375
-hashtable,sorted,find,0.00019439999960013665
-hashtable,sorted,delete,0.00011420000009820797
-bintree,sorted,insert,0.12917839999863645
-bintree,sorted,find,0.007965299999341369
-bintree,sorted,delete,0.00476150000031339

ProninVV/aufgabe-1-data-structures/timedata_10000.csv

@@ -1,19 +0,0 @@
-Структура,Режим,Операция,Время (сек)
-linklist,shuffled,insert,2.8069403000008606
-linklist,shuffled,find,0.028815499998017913
-linklist,shuffled,delete,0.015906399999948917
-hashtable,shuffled,insert,0.17993940000087605
-hashtable,shuffled,find,0.0018954999977722764
-hashtable,shuffled,delete,0.0012972000004083384
-bintree,shuffled,insert,0.03314669999963371
-bintree,shuffled,find,0.00022189999799593352
-bintree,shuffled,delete,0.00011869999798364006
-linklist,sorted,insert,2.925224900001922
-linklist,sorted,find,0.026056099999550497
-linklist,sorted,delete,0.015979499999957625
-hashtable,sorted,insert,0.15593369999987772
-hashtable,sorted,find,0.0014122000029601622
-hashtable,sorted,delete,0.0008025000024645124
-bintree,sorted,insert,13.357120900000155
-bintree,sorted,find,0.0936219000031997
-bintree,sorted,delete,0.040907499998866115

ProninVV/aufgabe-1-data-structures/timedata_2000.csv

@@ -1,19 +0,0 @@
-Структура,Режим,Операция,Время (сек)
-linklist,shuffled,insert,0.1222989999987476
-linklist,shuffled,find,0.005472099997859914
-linklist,shuffled,delete,0.0038157999988470692
-hashtable,shuffled,insert,0.008049899999605259
-hashtable,shuffled,find,0.0003437999985180795
-hashtable,shuffled,delete,0.00024619999749120325
-bintree,shuffled,insert,0.004746700000396231
-bintree,shuffled,find,0.00016089999917312525
-bintree,shuffled,delete,8.469999738736078e-05
-linklist,sorted,insert,0.12316460000147345
-linklist,sorted,find,0.005846299998665927
-linklist,sorted,delete,7.130000085453503e-05
-hashtable,sorted,insert,0.008595399998739595
-hashtable,sorted,find,0.0003437999985180795
-hashtable,sorted,delete,0.0002158999996026978
-bintree,sorted,insert,0.5351322999995318
-bintree,sorted,find,0.01742980000199168
-bintree,sorted,delete,0.007677599998714868

ProninVV/aufgabe-1-data-structures/timedata_500.csv

@@ -1,19 +0,0 @@
-Структура,Режим,Операция,Время (сек)
-linklist,shuffled,insert,0.007393100000626873
-linklist,shuffled,find,0.001468800001021009
-linklist,shuffled,delete,0.0008425000014540274
-hashtable,shuffled,insert,0.000751199997466756
-hashtable,shuffled,find,0.00013349999790079892
-hashtable,shuffled,delete,7.670000195503235e-05
-bintree,shuffled,insert,0.0008823000025586225
-bintree,shuffled,find,0.00012040000001434237
-bintree,shuffled,delete,6.539999958476983e-05
-linklist,sorted,insert,0.00702620000083698
-linklist,sorted,find,0.0012153999996371567
-linklist,sorted,delete,0.0007512000011047348
-hashtable,sorted,insert,0.0007286000000021886
-hashtable,sorted,find,0.00012399999832268804
-hashtable,sorted,delete,8.069999967119657e-05
-bintree,sorted,insert,0.03012010000020382
-bintree,sorted,find,0.003360800001246389
-bintree,sorted,delete,0.0017866999987745658