Sppy

SpPy is a sparse matrix library based on the C++ library Eigen with a similar interface to NumPy. Here is a code snippet: :: >>> import numpy >>> from sppy import csarray >>> #Create a new column major dynamic array of float type >>> B = csarray((5, 5), storagetype="col") >>> B[3, 3] = -0.2 >>> B[0, 4] = -1.23 >>> B[numpy.array([0, 1]), numpy.array([0,1])] = 27 >>> print(B) csarray dtype:float64 shape:(5, 5) non-zeros:4 storage:col (0, 0) 27.0 (1, 1) 27.0 (3, 3) -0.2 (0, 4) -1.23 >>> print(B.sum()) 52.57 More Information ---------------- * See the user guide at http://pythonhosted.org/sppy/ * The source code is available at https://github.com/charanpald/sppy

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Willow branches and waterfalls could also be seen as "spikes": see Wen T'ing-yun Wen fei-ch'ing chi chien-chu [CHINESE CHARACTER NOT REPRODUCIBLE IN ASCII] ( SPPY), 4.1la, "On a Willow"; and Su shih shih-chi 10.477, the second of "Five Quatrains on the Hermitage of Master Jung at Fo-jih Hill" (1073). Wang Pi (Chou-i Wang Han chu ( SPPY edn] 1.15b) says, in part: "Finding domestication in a [situation of] growing yin [Wang's reference to line 4] does not enable one to 'return [unobstructed]' [a reference to the image of the first line]." (32) There is a subfield of scholarship on San-kuo and Chin social ritual (leaving aside for a moment court ritual].

Equity securities may fluctuate in value in response to the activities of individual companies and general market and economic conditions. ETFs trade like stocks, are subject to investment risk, fluctuate in market value and may trade at prices above or below the ETFs net asset value. Brokerage commissions and ETF expenses will reduce returns. Investing in foreign domiciled securities may involve risk of capital loss from unfavorable fluctuation in currency values, withholding taxes, from differences in generally accepted accounting principles or from economic or political instability in other nations. *These ticker codes are representative of the primary listing exchange. INSPPYE Inception Date 02 Dec 2019 Countries of Registration Austria, Denmark, Finland, France, Germany, Ireland, Italy, Luxembourg, Netherlands, Norway, Spain, Sweden, Switzerland, United Kingdom Share Class Currency USD Income Treatment Accumulation Settlement Cycle Redemption Settlement Cycle, DD+2; Subscription Settlement Cycle, DD+2 Trading Cycle DD TER 0,10% Benchmark S&P 500 ESG Leaders Index Minimum Investment 1 Trading Currency EUR, USD UCITS Compliant Yes SFDR Fund Classification SFDR - Article 8 Domicile Ireland Investment Manager State Street Global Advisors Europe Limited Sub-Investment Manager(s) State Street Global Advisors Trust Company Fund Umbrella SSGA SPDR ETFs Europe I plc Replication Method Replicated Distribution Frequency - PEA Eligible No ISA Eligible Yes SIPP Eligible Yes UK Rep...

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Date Open High Low Close* Adj Close** Volume Jun 16, 2023 443.02 443.61 438.97 439.46 439.46 113,655,998 Jun 15, 2023 436.33 443.90 436.23 442.60 442.60 110,303,100 Jun 14, 2023 437.01 439.06 433.59 437.18 437.18 100,612,100 Jun 13, 2023 435.32 437.33 434.63 436.66 436.66 95,899,700 Jun 12, 2023 430.92 433.88 430.17 433.80 433.80 76,104,300 Jun 09, 2023 429.96 431.99 428.87 429.90 429.90 85,742,800 Jun 08, 2023 426.62 429.60 425.82 429.13 429.13 61,952,800 Jun 07, 2023 428.44 429.62 426.11 426.55 426.55 85,373,300 Jun 06, 2023 426.67 428.58 425.99 428.03 428.03 64,022,200 Jun 05, 2023 428.28 429.62 426.37 427.10 427.10 65,460,200 Jun 02, 2023 424.50 428.74 423.95 427.92 427.92 91,366,700 Jun 01, 2023 418.09 422.92 416.79 421.82 421.82 88,865,000 May 31, 2023 418.28 419.22 416.22 417.85 417.85 110,811,800 May 30, 2023 422.03 422.58 418.74 420.18 420.18 72,216,000 May 26, 2023 415.33 420.77 415.25 420.02 420.02 93,830,000 May 25, 2023 414.74 416.16 412.41 414.65 414.65 90,961,600 May 24, 2023 412.42 412.82 409.88 411.09 411.09 89,213,700 May 23, 2023 417.08 418.72 413.68 414.09 414.09 86,383,500 May 22, 2023 418.64 420.39 417.35 418.79 418.79 60,745,400 May 19, 2023 420.17 420.72 417.35 418.62 418.62 103,679,700 May 18, 2023 414.90 419.67 414.67 419.23 419.23 97,177,200 May 17, 2023 412.35 415.86 410.64 415.23 415.23 87,287,000 May 16, 2023 411.86 412.82 410.24 410.25 410.25 57,705,500 May 15, 2023 412.22 413.43 410.23 413.01 413.01 54,289,400 May 12, 2023 413.42 413.64 409....

mpi-sppy Optimization under uncertainty for NOTICE There was a disruptive change on August 11, 2022 concerning how options are accessed. See the file disruptions.txt for more information. If you are a new user, this will not affect you, regardless of how you install. If you are an existing user, you should consider the disruption before updating to the latest mpi-sppy. The documentation on readthedocs probably refers to the newest version. Status for internal tests MPI A recent version of MPI and a compatible version of mpi4py are needed. Here are two methods that seem to work well for installation, at least when considering non-HPC platforms. • Install OpenMPI and mpi4py using conda. • conda install openmpi; conda install mpi4py (in that order) • If you already have an existing version of MPI, it may be better compile mpi4py against it. This can be done by installing mpi4py though pip. • pip install mpi4py To test your installation, cd to the directory where you installed mpi-sppy (it is called mpi-sppy) and then give this command. mpirun -n 2 python -m mpi4py mpi_one_sided_test.py If you don't see any error messages, you might have an MPI installation that will work well. Note that even if there is an error message, mpi-sppy may still execute and return correct results. Per the comment below, the run-times may just be unnecessarily inflated. Citing mpi-sppy If you find mpi-sppy useful in your work, we kindly request that you cite the following @misc AN IMPORTANT NOTE FOR...

*These ticker codes are representative of the primary listing exchange. INSPPYE Inception Date 02 Dec 2019 Countries of Registration Austria, Denmark, Finland, France, Germany, Ireland, Italy, Luxembourg, Netherlands, Norway, Spain, Sweden, Switzerland, United Kingdom Share Class Currency USD Income Treatment Accumulation Settlement Cycle Redemption Settlement Cycle, DD+2; Subscription Settlement Cycle, DD+2 Trading Cycle DD TER 0.10% Benchmark S&P 500 ESG Leaders Index Minimum Investment 1 Trading Currency EUR, USD UCITS Compliant Yes SFDR Fund Classification SFDR - Article 8 Domicile Ireland Investment Manager State Street Global Advisors Europe Limited Sub-Investment Manager(s) State Street Global Advisors Trust Company Fund Umbrella SSGA SPDR ETFs Europe I plc Replication Method Replicated Distribution Frequency - PEA Eligible No ISA Eligible Yes SIPP Eligible Yes UK Reporting Status Yes Securities Lending No As Of 1 Month 3 Month YTD 1 Year 3 Year 5 Year 10 Year Since Inception 02 Dec 2019 Fund Net 31 May 2023 1.27% 8.32% 13.00% 6.55% 13.92% - - 11.68% Difference 31 May 2023 0.01% 0.03% 0.06% 0.16% 0.14% - - 0.14% Fund Gross 31 May 2023 1.28% 8.35% 13.05% 6.65% 14.04% - - 11.80% Difference 31 May 2023 0.02% 0.05% 0.10% 0.27% 0.26% - - 0.26% Index As Of 1 Month 3 Month YTD 1 Year 3 Year 5 Year 10 Year Since Inception 02 Dec 2019 Fund Net 31 May 2023 1.27% 8.32% 13.00% 6.55% 47.81% - - 47.11% Difference 31 May 2023 0.01% 0.03% 0.06% 0.16% 0.56% - - 0.66% Fund Gross 31 M...

Willow branches and waterfalls could also be seen as "spikes": see Wen T'ing-yun Wen fei-ch'ing chi chien-chu [CHINESE CHARACTER NOT REPRODUCIBLE IN ASCII] ( SPPY), 4.1la, "On a Willow"; and Su shih shih-chi 10.477, the second of "Five Quatrains on the Hermitage of Master Jung at Fo-jih Hill" (1073). Wang Pi (Chou-i Wang Han chu ( SPPY edn] 1.15b) says, in part: "Finding domestication in a [situation of] growing yin [Wang's reference to line 4] does not enable one to 'return [unobstructed]' [a reference to the image of the first line]." (32) There is a subfield of scholarship on San-kuo and Chin social ritual (leaving aside for a moment court ritual].

SpPy is a sparse matrix library based on the C++ library Eigen with a similar interface to NumPy. Here is a code snippet: :: >>> import numpy >>> from sppy import csarray >>> #Create a new column major dynamic array of float type >>> B = csarray((5, 5), storagetype="col") >>> B[3, 3] = -0.2 >>> B[0, 4] = -1.23 >>> B[numpy.array([0, 1]), numpy.array([0,1])] = 27 >>> print(B) csarray dtype:float64 shape:(5, 5) non-zeros:4 storage:col (0, 0) 27.0 (1, 1) 27.0 (3, 3) -0.2 (0, 4) -1.23 >>> print(B.sum()) 52.57 More Information ---------------- * See the user guide at http://pythonhosted.org/sppy/ * The source code is available at https://github.com/charanpald/sppy