:jP;dZddlZddlZgdZej ddddZej ddddZej ddddZejjjd ej dddd dd d Z dd dd d Z ejjdejjdej dddiidddZejjjd ej ddddd dddZy)z3Provides explicit constructions of expander graphs.N)margulis_gabber_galil_graphchordal_cycle_graph paley_graphmaybe_regular_expandermaybe_regular_expander_graphis_regular_expanderrandom_regular_expander_graphT)graphs returns_graphctjd|tj}|js|j sd}tj |t jt|dD][\}}|d|zz|z|f|d|zdzz|z|f||d|zz|zf||d|zdzz|zffD]\}}|j||f||f]d|d|jd <|S) aReturns the Margulis-Gabber-Galil undirected MultiGraph on `n^2` nodes. The undirected MultiGraph is regular with degree `8`. Nodes are integer pairs. The second-largest eigenvalue of the adjacency matrix of the graph is at most `5 \sqrt{2}`, regardless of `n`. Parameters ---------- n : int Determines the number of nodes in the graph: `n^2`. create_using : NetworkX graph constructor, optional (default MultiGraph) Graph type to create. If graph instance, then cleared before populated. Returns ------- G : graph The constructed undirected multigraph. Raises ------ NetworkXError If the graph is directed or not a multigraph. rdefault0`create_using` must be an undirected multigraph.)repeatzmargulis_gabber_galil_graph()name) nx empty_graph MultiGraph is_directed is_multigraph NetworkXError itertoolsproductrangeadd_edgegraph)n create_usingGmsgxyuvs r/home/mcse/projects/srt_converter/srt-converter-venv/lib/python3.12/site-packages/networkx/generators/expanders.pyrr2s 4 q, >A}}aoo/@s##!!%(15'1!a%i1_a 1q519o "A & QUa a!eaiA% &   'DAq JJ1v1v &  ''5QCq9AGGFO Hctjd|tj}|js|j sd}tj |t |D]E}|dz |z}|dz|z}|dkDrt||dz |nd}|||fD]}|j||Gd|d|jd<|S) uReturns the chordal cycle graph on `p` nodes. The returned graph is a cycle graph on `p` nodes with chords joining each vertex `x` to its inverse modulo `p`. This graph is a (mildly explicit) 3-regular expander [1]_. `p` *must* be a prime number. Parameters ---------- p : a prime number The number of vertices in the graph. This also indicates where the chordal edges in the cycle will be created. create_using : NetworkX graph constructor, optional (default=nx.Graph) Graph type to create. If graph instance, then cleared before populated. Returns ------- G : graph The constructed undirected multigraph. Raises ------ NetworkXError If `create_using` indicates directed or not a multigraph. References ---------- .. [1] Theorem 4.4.2 in A. Lubotzky. "Discrete groups, expanding graphs and invariant measures", volume 125 of Progress in Mathematics. Birkhäuser Verlag, Basel, 1994. rr rrrzchordal_cycle_graph(rr) rrrrrrrpowrr) pr!r"r#r$leftrightchordr%s r(rr]sN q, >A}}aoo/@s## 1XA{Q! %&EAq1ua qu% A JJq!   -QCq1AGGFO Hr)ctjd|tj}|jrd}tj|t d|Dchc]}|dz|zdk7s|dz|z}}t |D]!}|D]}|j |||z|z#d|d|jd<|Scc}w) a-Returns the Paley $\frac{(p-1)}{2}$ -regular graph on $p$ nodes. The returned graph is a graph on $\mathbb{Z}/p\mathbb{Z}$ with edges between $x$ and $y$ if and only if $x-y$ is a nonzero square in $\mathbb{Z}/p\mathbb{Z}$. If $p \equiv 1 \pmod 4$, $-1$ is a square in $\mathbb{Z}/p\mathbb{Z}$ and therefore $x-y$ is a square if and only if $y-x$ is also a square, i.e the edges in the Paley graph are symmetric. If $p \equiv 3 \pmod 4$, $-1$ is not a square in $\mathbb{Z}/p\mathbb{Z}$ and therefore either $x-y$ or $y-x$ is a square in $\mathbb{Z}/p\mathbb{Z}$ but not both. Note that a more general definition of Paley graphs extends this construction to graphs over $q=p^n$ vertices, by using the finite field $F_q$ instead of $\mathbb{Z}/p\mathbb{Z}$. This construction requires to compute squares in general finite fields and is not what is implemented here (i.e `paley_graph(25)` does not return the true Paley graph associated with $5^2$). Parameters ---------- p : int, an odd prime number. create_using : NetworkX graph constructor, optional (default=nx.Graph) Graph type to create. If graph instance, then cleared before populated. Returns ------- G : graph The constructed directed graph. Raises ------ NetworkXError If the graph is a multigraph. References ---------- Chapter 13 in B. Bollobas, Random Graphs. Second edition. Cambridge Studies in Advanced Mathematics, 73. Cambridge University Press, Cambridge (2001). rr z&`create_using` cannot be a multigraph.rrzpaley(rr)rrDiGraphrrrrr)r,r!r"r#r$ square_setx2s r(rrsX q, ;A6s## ',AqkEadaZ1_1a41*EJE 1X( (B JJq1r6Q, ' ((qcmAGGFO H Fs B=- B=seeddr! max_triesr4cddl}|dkrtjd|dk\stjd|dzdk(stjd|dz |k\stjd|dzd |d tj||}|dkr|Sg}t }t |dzD]} |} t || dz|zk7s| dz} |j|dz j} | j|dz tjj| d D chc]\} } | | f|vr | | f|vr| | f}} } t ||k(r"|j| |j|| dk(rd }tj|t || dz|zk7r݌|j||Scc} } w)aUtility for creating a random regular expander. Returns a random $d$-regular graph on $n$ nodes which is an expander graph with very good probability. Parameters ---------- n : int The number of nodes. d : int The degree of each node. create_using : Graph Instance or Constructor Indicator of type of graph to return. If a Graph-type instance, then clear and use it. If a constructor, call it to create an empty graph. Use the Graph constructor by default. max_tries : int. (default: 100) The number of allowed loops when generating each independent cycle seed : (default: None) Seed used to set random number generation state. See :ref`Randomness`. Notes ----- The nodes are numbered from $0$ to $n - 1$. The graph is generated by taking $d / 2$ random independent cycles. Joel Friedman proved that in this model the resulting graph is an expander with probability $1 - O(n^{-\tau})$ where $\tau = \lceil (\sqrt{d - 1}) / 2 \rceil - 1$. [1]_ Examples -------- >>> G = nx.maybe_regular_expander_graph(n=200, d=6, seed=8020) Returns ------- G : graph The constructed undirected graph. Raises ------ NetworkXError If $d % 2 != 0$ as the degree must be even. If $n - 1$ is less than $ 2d $ as the graph is complete at most. If max_tries is reached See Also -------- is_regular_expander random_regular_expander_graph References ---------- .. [1] Joel Friedman, A Proof of Alon's Second Eigenvalue Conjecture and Related Problems, 2004 https://arxiv.org/abs/cs/0405020 rNrzn must be a positive integerrz$d must be greater than or equal to 2zd must be evenzNeed n-1>= d to have room for z independent cycles with z nodesT)cyclicz3Too many iterations in maybe_regular_expander_graph)numpyrrrsetrlen permutationtolistappendutilspairwiseupdateadd_edges_from)r dr!r7r4npr"cyclesedgesi iterationscycler&r' new_edgesr#s r(rrs~1u=>> FEFF EQJ/00 EQJ,Q!VH4MaSPV W   q,'A1u F EE16], %jQUaK' !OJ$$QU+224E LLQ HH--eD-AAqq6&Aq6+>AI9~" e$ Y'QK&&s++)%jQUaK',2U H#s-GcZddl}|jdtdt|||||S)z .. deprecated:: 3.6 `maybe_regular_expander` is a deprecated alias for `maybe_regular_expander_graph`. Use `maybe_regular_expander_graph` instead. rNzQmaybe_regular_expander is deprecated, use `maybe_regular_expander_graph` instead.r)category stacklevelr6)warningswarnDeprecationWarningr)r rDr!r7r4rOs r(rrPs= MM 6#  ( 1<94 r)directed multigraphr"weightr)preserve_edge_attrsepsiloncddl}ddl}|dkrtjdtj|sytj j |j\}}tj|t}|jjj|ddd}t|}tt|d|j!|d z z|zkS) a%Determines whether the graph G is a regular expander. [1]_ An expander graph is a sparse graph with strong connectivity properties. More precisely, this helper checks whether the graph is a regular $(n, d, \lambda)$-expander with $\lambda$ close to the Alon-Boppana bound and given by $\lambda = 2 \sqrt{d - 1} + \epsilon$. [2]_ In the case where $\epsilon = 0$ then if the graph successfully passes the test it is a Ramanujan graph. [3]_ A Ramanujan graph has spectral gap almost as large as possible, which makes them excellent expanders. Parameters ---------- G : NetworkX graph epsilon : int, float, default=0 Returns ------- bool Whether the given graph is a regular $(n, d, \lambda)$-expander where $\lambda = 2 \sqrt{d - 1} + \epsilon$. Examples -------- >>> G = nx.random_regular_expander_graph(20, 4) >>> nx.is_regular_expander(G) True See Also -------- maybe_regular_expander_graph random_regular_expander_graph References ---------- .. [1] Expander graph, https://en.wikipedia.org/wiki/Expander_graph .. [2] Alon-Boppana bound, https://en.wikipedia.org/wiki/Alon%E2%80%93Boppana_bound .. [3] Ramanujan graphs, https://en.wikipedia.org/wiki/Ramanujan_graph rNzepsilon must be non negativeF)dtypeLMr)whichkreturn_eigenvectorsr)r:scipyrr is_regularr@arbitrary_elementdegreeadjacency_matrixfloatsparselinalgeigshminboolabssqrt) r"rWrEsp_rDAlamslambda2s r(rrdsb{=>> ==  88 % %ahh /DAq AU+A 99   ! !!41% ! PD$iG G q2771q5>1G;; <`. Raises ------ NetworkXError If max_tries is reached Examples -------- >>> G = nx.random_regular_expander_graph(20, 4) >>> nx.is_regular_expander(G) True Notes ----- This loops over `maybe_regular_expander_graph` and can be slow when $n$ is too big or $\epsilon$ too small. See Also -------- maybe_regular_expander_graph is_regular_expander References ---------- .. [1] Expander graph, https://en.wikipedia.org/wiki/Expander_graph .. [2] Alon-Boppana bound, https://en.wikipedia.org/wiki/Alon%E2%80%93Boppana_bound .. [3] Ramanujan graphs, https://en.wikipedia.org/wiki/Ramanujan_graph r6rVr)r rDr!r7r4rz4Too many iterations in random_regular_expander_graph)rrrr)r rDrWr!r7r4r"rIs r(r r s{r % 1<94 AJ!!W5a (1<94  ?""F "!W5 Hr))N)__doc__rnetworkxr__all__ _dispatchablerrrr@ decoratorsnp_random_staterrnot_implemented_forrr r)r(rys9 VT2' 3' TT2< 3< ~T29 39 x$$V,T27;sQUq 3-q h264(j)l+sXqM&:;&'@=<,*@=F$$V,T2TStG 3-G r)