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b/llava_next/lib/python3.10/site-packages/scipy/stats/tests/__pycache__/test_tukeylambda_stats.cpython-310.pyc differ diff --git a/llava_next/lib/python3.10/site-packages/scipy/stats/tests/data/_mvt.py b/llava_next/lib/python3.10/site-packages/scipy/stats/tests/data/_mvt.py new file mode 100644 index 0000000000000000000000000000000000000000..c346d0daded4b6e734718742cc8950b84ed333f7 --- /dev/null +++ b/llava_next/lib/python3.10/site-packages/scipy/stats/tests/data/_mvt.py @@ -0,0 +1,171 @@ +import math +import numpy as np +from scipy import special +from scipy.stats._qmc import primes_from_2_to + + +def _primes(n): + # Defined to facilitate comparison between translation and source + # In Matlab, primes(10.5) -> first four primes, primes(11.5) -> first five + return primes_from_2_to(math.ceil(n)) + + +def _gaminv(a, b): + # Defined to facilitate comparison between translation and source + # Matlab's `gaminv` is like `special.gammaincinv` but args are reversed + return special.gammaincinv(b, a) + + +def _qsimvtv(m, nu, sigma, a, b, rng): + """Estimates the multivariate t CDF using randomized QMC + + Parameters + ---------- + m : int + The number of points + nu : float + Degrees of freedom + sigma : ndarray + A 2D positive semidefinite covariance matrix + a : ndarray + Lower integration limits + b : ndarray + Upper integration limits. + rng : Generator + Pseudorandom number generator + + Returns + ------- + p : float + The estimated CDF. + e : float + An absolute error estimate. + + """ + # _qsimvtv is a Python translation of the Matlab function qsimvtv, + # semicolons and all. + # + # This function uses an algorithm given in the paper + # "Comparison of Methods for the Numerical Computation of + # Multivariate t Probabilities", in + # J. of Computational and Graphical Stat., 11(2002), pp. 950-971, by + # Alan Genz and Frank Bretz + # + # The primary references for the numerical integration are + # "On a Number-Theoretical Integration Method" + # H. Niederreiter, Aequationes Mathematicae, 8(1972), pp. 304-11. + # and + # "Randomization of Number Theoretic Methods for Multiple Integration" + # R. Cranley & T.N.L. Patterson, SIAM J Numer Anal, 13(1976), pp. 904-14. + # + # Alan Genz is the author of this function and following Matlab functions. + # Alan Genz, WSU Math, PO Box 643113, Pullman, WA 99164-3113 + # Email : alangenz@wsu.edu + # + # Copyright (C) 2013, Alan Genz, All rights reserved. + # + # Redistribution and use in source and binary forms, with or without + # modification, are permitted provided the following conditions are met: + # 1. Redistributions of source code must retain the above copyright + # notice, this list of conditions and the following disclaimer. + # 2. Redistributions in binary form must reproduce the above copyright + # notice, this list of conditions and the following disclaimer in + # the documentation and/or other materials provided with the + # distribution. + # 3. The contributor name(s) may not be used to endorse or promote + # products derived from this software without specific prior + # written permission. + # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS + # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT + # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS + # FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE + # COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, + # INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, + # BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS + # OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND + # ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR + # TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF USE + # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + + # Initialization + sn = max(1, math.sqrt(nu)); ch, az, bz = _chlrps(sigma, a/sn, b/sn) + n = len(sigma); N = 10; P = math.ceil(m/N); on = np.ones(P); p = 0; e = 0 + ps = np.sqrt(_primes(5*n*math.log(n+4)/4)); q = ps[:, np.newaxis] # Richtmyer gens. + + # Randomization loop for ns samples + c = None; dc = None + for S in range(N): + vp = on.copy(); s = np.zeros((n, P)) + for i in range(n): + x = np.abs(2*np.mod(q[i]*np.arange(1, P+1) + rng.random(), 1)-1) # periodizing transform + if i == 0: + r = on + if nu > 0: + r = np.sqrt(2*_gaminv(x, nu/2)) + else: + y = _Phinv(c + x*dc) + s[i:] += ch[i:, i-1:i] * y + si = s[i, :]; c = on.copy(); ai = az[i]*r - si; d = on.copy(); bi = bz[i]*r - si + c[ai <= -9] = 0; tl = abs(ai) < 9; c[tl] = _Phi(ai[tl]) + d[bi <= -9] = 0; tl = abs(bi) < 9; d[tl] = _Phi(bi[tl]) + dc = d - c; vp = vp * dc + d = (np.mean(vp) - p)/(S + 1); p = p + d; e = (S - 1)*e/(S + 1) + d**2 + e = math.sqrt(e) # error estimate is 3 times std error with N samples. + return p, e + + +# Standard statistical normal distribution functions +def _Phi(z): + return special.ndtr(z) + + +def _Phinv(p): + return special.ndtri(p) + + +def _chlrps(R, a, b): + """ + Computes permuted and scaled lower Cholesky factor c for R which may be + singular, also permuting and scaling integration limit vectors a and b. + """ + ep = 1e-10 # singularity tolerance + eps = np.finfo(R.dtype).eps + + n = len(R); c = R.copy(); ap = a.copy(); bp = b.copy(); d = np.sqrt(np.maximum(np.diag(c), 0)) + for i in range(n): + if d[i] > 0: + c[:, i] /= d[i]; c[i, :] /= d[i] + ap[i] /= d[i]; bp[i] /= d[i] + y = np.zeros((n, 1)); sqtp = math.sqrt(2*math.pi) + + for k in range(n): + im = k; ckk = 0; dem = 1; s = 0 + for i in range(k, n): + if c[i, i] > eps: + cii = math.sqrt(max(c[i, i], 0)) + if i > 0: s = c[i, :k] @ y[:k] + ai = (ap[i]-s)/cii; bi = (bp[i]-s)/cii; de = _Phi(bi)-_Phi(ai) + if de <= dem: + ckk = cii; dem = de; am = ai; bm = bi; im = i + if im > k: + ap[[im, k]] = ap[[k, im]]; bp[[im, k]] = bp[[k, im]]; c[im, im] = c[k, k] + t = c[im, :k].copy(); c[im, :k] = c[k, :k]; c[k, :k] = t + t = c[im+1:, im].copy(); c[im+1:, im] = c[im+1:, k]; c[im+1:, k] = t + t = c[k+1:im, k].copy(); c[k+1:im, k] = c[im, k+1:im].T; c[im, k+1:im] = t.T + if ckk > ep*(k+1): + c[k, k] = ckk; c[k, k+1:] = 0 + for i in range(k+1, n): + c[i, k] = c[i, k]/ckk; c[i, k+1:i+1] = c[i, k+1:i+1] - c[i, k]*c[k+1:i+1, k].T + if abs(dem) > ep: + y[k] = (np.exp(-am**2/2) - np.exp(-bm**2/2)) / (sqtp*dem) + else: + y[k] = (am + bm) / 2 + if am < -10: + y[k] = bm + elif bm > 10: + y[k] = am + c[k, :k+1] /= ckk; ap[k] /= ckk; bp[k] /= ckk + else: + c[k:, k] = 0; y[k] = (ap[k] + bp[k])/2 + pass + return c, ap, bp diff --git a/llava_next/lib/python3.10/site-packages/scipy/stats/tests/data/fisher_exact_results_from_r.py b/llava_next/lib/python3.10/site-packages/scipy/stats/tests/data/fisher_exact_results_from_r.py new file mode 100644 index 0000000000000000000000000000000000000000..b7dd8936018eae2f74cc6f5966235a86fa821793 --- /dev/null +++ b/llava_next/lib/python3.10/site-packages/scipy/stats/tests/data/fisher_exact_results_from_r.py @@ -0,0 +1,607 @@ +# DO NOT EDIT THIS FILE! +# This file was generated by the R script +# generate_fisher_exact_results_from_r.R +# The script was run with R version 3.6.2 (2019-12-12) at 2020-11-09 06:16:09 + + +from collections import namedtuple +import numpy as np + + +Inf = np.inf + +Parameters = namedtuple('Parameters', + ['table', 'confidence_level', 'alternative']) +RResults = namedtuple('RResults', + ['pvalue', 'conditional_odds_ratio', + 'conditional_odds_ratio_ci']) +data = [ + (Parameters(table=[[100, 2], [1000, 5]], + confidence_level=0.95, + alternative='two.sided'), + RResults(pvalue=0.1300759363430016, + conditional_odds_ratio=0.25055839934223, + conditional_odds_ratio_ci=(0.04035202926536294, + 2.662846672960251))), + (Parameters(table=[[2, 7], [8, 2]], + confidence_level=0.95, + alternative='two.sided'), + RResults(pvalue=0.02301413756522116, + conditional_odds_ratio=0.0858623513573622, + conditional_odds_ratio_ci=(0.004668988338943325, + 0.895792956493601))), + (Parameters(table=[[5, 1], [10, 10]], + confidence_level=0.95, + alternative='two.sided'), + RResults(pvalue=0.1973244147157191, + conditional_odds_ratio=4.725646047336587, + conditional_odds_ratio_ci=(0.4153910882532168, + 259.2593661129417))), + (Parameters(table=[[5, 15], [20, 20]], + confidence_level=0.95, + 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confidence_level=0.99, + alternative='greater'), + RResults(pvalue=0.2959825901308897, + conditional_odds_ratio=1.068697577856801, + conditional_odds_ratio_ci=(0.8176272148267533, + Inf))), +] diff --git a/llava_next/lib/python3.10/site-packages/scipy/stats/tests/data/nist_anova/AtmWtAg.dat b/llava_next/lib/python3.10/site-packages/scipy/stats/tests/data/nist_anova/AtmWtAg.dat new file mode 100644 index 0000000000000000000000000000000000000000..30537565fe8c47f74da0e63a39f4b46600f7768f --- /dev/null +++ b/llava_next/lib/python3.10/site-packages/scipy/stats/tests/data/nist_anova/AtmWtAg.dat @@ -0,0 +1,108 @@ +NIST/ITL StRD +Dataset Name: AtmWtAg (AtmWtAg.dat) + + +File Format: ASCII + Certified Values (lines 41 to 47) + Data (lines 61 to 108) + + +Procedure: Analysis of Variance + + +Reference: Powell, L.J., Murphy, T.J. and Gramlich, J.W. (1982). + "The Absolute Isotopic Abundance & Atomic Weight + of a Reference Sample of Silver". + NBS Journal of Research, 87, pp. 9-19. + + +Data: 1 Factor + 2 Treatments + 24 Replicates/Cell + 48 Observations + 7 Constant Leading Digits + Average Level of Difficulty + Observed Data + + +Model: 3 Parameters (mu, tau_1, tau_2) + y_{ij} = mu + tau_i + epsilon_{ij} + + + + + + +Certified Values: + +Source of Sums of Mean +Variation df Squares Squares F Statistic + + +Between Instrument 1 3.63834187500000E-09 3.63834187500000E-09 1.59467335677930E+01 +Within Instrument 46 1.04951729166667E-08 2.28155932971014E-10 + + Certified R-Squared 2.57426544538321E-01 + + Certified Residual + Standard Deviation 1.51048314446410E-05 + + + + + + + + + + + +Data: Instrument AgWt + 1 107.8681568 + 1 107.8681465 + 1 107.8681572 + 1 107.8681785 + 1 107.8681446 + 1 107.8681903 + 1 107.8681526 + 1 107.8681494 + 1 107.8681616 + 1 107.8681587 + 1 107.8681519 + 1 107.8681486 + 1 107.8681419 + 1 107.8681569 + 1 107.8681508 + 1 107.8681672 + 1 107.8681385 + 1 107.8681518 + 1 107.8681662 + 1 107.8681424 + 1 107.8681360 + 1 107.8681333 + 1 107.8681610 + 1 107.8681477 + 2 107.8681079 + 2 107.8681344 + 2 107.8681513 + 2 107.8681197 + 2 107.8681604 + 2 107.8681385 + 2 107.8681642 + 2 107.8681365 + 2 107.8681151 + 2 107.8681082 + 2 107.8681517 + 2 107.8681448 + 2 107.8681198 + 2 107.8681482 + 2 107.8681334 + 2 107.8681609 + 2 107.8681101 + 2 107.8681512 + 2 107.8681469 + 2 107.8681360 + 2 107.8681254 + 2 107.8681261 + 2 107.8681450 + 2 107.8681368 diff --git a/llava_next/lib/python3.10/site-packages/scipy/stats/tests/data/nist_anova/SiRstv.dat b/llava_next/lib/python3.10/site-packages/scipy/stats/tests/data/nist_anova/SiRstv.dat new file mode 100644 index 0000000000000000000000000000000000000000..18ea8971fd7a4d67800dafe98ac5ea5acef53025 --- /dev/null +++ b/llava_next/lib/python3.10/site-packages/scipy/stats/tests/data/nist_anova/SiRstv.dat @@ -0,0 +1,85 @@ +NIST/ITL StRD +Dataset Name: SiRstv (SiRstv.dat) + + +File Format: ASCII + Certified Values (lines 41 to 47) + Data (lines 61 to 85) + + +Procedure: Analysis of Variance + + +Reference: Ehrstein, James and Croarkin, M. Carroll. + Unpublished NIST dataset. + + +Data: 1 Factor + 5 Treatments + 5 Replicates/Cell + 25 Observations + 3 Constant Leading Digits + Lower Level of Difficulty + Observed Data + + +Model: 6 Parameters (mu,tau_1, ... , tau_5) + y_{ij} = mu + tau_i + epsilon_{ij} + + + + + + + + +Certified Values: + +Source of Sums of Mean +Variation df Squares Squares F Statistic + +Between Instrument 4 5.11462616000000E-02 1.27865654000000E-02 1.18046237440255E+00 +Within Instrument 20 2.16636560000000E-01 1.08318280000000E-02 + + Certified R-Squared 1.90999039051129E-01 + + Certified Residual + Standard Deviation 1.04076068334656E-01 + + + + + + + + + + + + +Data: Instrument Resistance + 1 196.3052 + 1 196.1240 + 1 196.1890 + 1 196.2569 + 1 196.3403 + 2 196.3042 + 2 196.3825 + 2 196.1669 + 2 196.3257 + 2 196.0422 + 3 196.1303 + 3 196.2005 + 3 196.2889 + 3 196.0343 + 3 196.1811 + 4 196.2795 + 4 196.1748 + 4 196.1494 + 4 196.1485 + 4 195.9885 + 5 196.2119 + 5 196.1051 + 5 196.1850 + 5 196.0052 + 5 196.2090 diff --git a/llava_next/lib/python3.10/site-packages/scipy/stats/tests/data/nist_anova/SmLs01.dat b/llava_next/lib/python3.10/site-packages/scipy/stats/tests/data/nist_anova/SmLs01.dat new file mode 100644 index 0000000000000000000000000000000000000000..945b24bf35422152a5faba73ed054ab78fda1bdf --- /dev/null +++ b/llava_next/lib/python3.10/site-packages/scipy/stats/tests/data/nist_anova/SmLs01.dat @@ -0,0 +1,249 @@ +NIST/ITL StRD +Dataset Name: SmLs01 (SmLs01.dat) + + +File Format: ASCII + Certified Values (lines 41 to 47) + Data (lines 61 to 249) + + +Procedure: Analysis of Variance + + +Reference: Simon, Stephen D. and Lesage, James P. (1989). + "Assessing the Accuracy of ANOVA Calculations in + Statistical Software". + Computational Statistics & Data Analysis, 8, pp. 325-332. + + +Data: 1 Factor + 9 Treatments + 21 Replicates/Cell + 189 Observations + 1 Constant Leading Digit + Lower Level of Difficulty + Generated Data + + +Model: 10 Parameters (mu,tau_1, ... , tau_9) + y_{ij} = mu + tau_i + epsilon_{ij} + + + + + + +Certified Values: + +Source of Sums of Mean +Variation df Squares Squares F Statistic + +Between Treatment 8 1.68000000000000E+00 2.10000000000000E-01 2.10000000000000E+01 +Within Treatment 180 1.80000000000000E+00 1.00000000000000E-02 + + Certified R-Squared 4.82758620689655E-01 + + Certified Residual + Standard Deviation 1.00000000000000E-01 + + + + + + + + + + + + +Data: Treatment Response + 1 1.4 + 1 1.3 + 1 1.5 + 1 1.3 + 1 1.5 + 1 1.3 + 1 1.5 + 1 1.3 + 1 1.5 + 1 1.3 + 1 1.5 + 1 1.3 + 1 1.5 + 1 1.3 + 1 1.5 + 1 1.3 + 1 1.5 + 1 1.3 + 1 1.5 + 1 1.3 + 1 1.5 + 2 1.3 + 2 1.2 + 2 1.4 + 2 1.2 + 2 1.4 + 2 1.2 + 2 1.4 + 2 1.2 + 2 1.4 + 2 1.2 + 2 1.4 + 2 1.2 + 2 1.4 + 2 1.2 + 2 1.4 + 2 1.2 + 2 1.4 + 2 1.2 + 2 1.4 + 2 1.2 + 2 1.4 + 3 1.5 + 3 1.4 + 3 1.6 + 3 1.4 + 3 1.6 + 3 1.4 + 3 1.6 + 3 1.4 + 3 1.6 + 3 1.4 + 3 1.6 + 3 1.4 + 3 1.6 + 3 1.4 + 3 1.6 + 3 1.4 + 3 1.6 + 3 1.4 + 3 1.6 + 3 1.4 + 3 1.6 + 4 1.3 + 4 1.2 + 4 1.4 + 4 1.2 + 4 1.4 + 4 1.2 + 4 1.4 + 4 1.2 + 4 1.4 + 4 1.2 + 4 1.4 + 4 1.2 + 4 1.4 + 4 1.2 + 4 1.4 + 4 1.2 + 4 1.4 + 4 1.2 + 4 1.4 + 4 1.2 + 4 1.4 + 5 1.5 + 5 1.4 + 5 1.6 + 5 1.4 + 5 1.6 + 5 1.4 + 5 1.6 + 5 1.4 + 5 1.6 + 5 1.4 + 5 1.6 + 5 1.4 + 5 1.6 + 5 1.4 + 5 1.6 + 5 1.4 + 5 1.6 + 5 1.4 + 5 1.6 + 5 1.4 + 5 1.6 + 6 1.3 + 6 1.2 + 6 1.4 + 6 1.2 + 6 1.4 + 6 1.2 + 6 1.4 + 6 1.2 + 6 1.4 + 6 1.2 + 6 1.4 + 6 1.2 + 6 1.4 + 6 1.2 + 6 1.4 + 6 1.2 + 6 1.4 + 6 1.2 + 6 1.4 + 6 1.2 + 6 1.4 + 7 1.5 + 7 1.4 + 7 1.6 + 7 1.4 + 7 1.6 + 7 1.4 + 7 1.6 + 7 1.4 + 7 1.6 + 7 1.4 + 7 1.6 + 7 1.4 + 7 1.6 + 7 1.4 + 7 1.6 + 7 1.4 + 7 1.6 + 7 1.4 + 7 1.6 + 7 1.4 + 7 1.6 + 8 1.3 + 8 1.2 + 8 1.4 + 8 1.2 + 8 1.4 + 8 1.2 + 8 1.4 + 8 1.2 + 8 1.4 + 8 1.2 + 8 1.4 + 8 1.2 + 8 1.4 + 8 1.2 + 8 1.4 + 8 1.2 + 8 1.4 + 8 1.2 + 8 1.4 + 8 1.2 + 8 1.4 + 9 1.5 + 9 1.4 + 9 1.6 + 9 1.4 + 9 1.6 + 9 1.4 + 9 1.6 + 9 1.4 + 9 1.6 + 9 1.4 + 9 1.6 + 9 1.4 + 9 1.6 + 9 1.4 + 9 1.6 + 9 1.4 + 9 1.6 + 9 1.4 + 9 1.6 + 9 1.4 + 9 1.6 diff --git a/llava_next/lib/python3.10/site-packages/scipy/stats/tests/data/nist_anova/SmLs03.dat b/llava_next/lib/python3.10/site-packages/scipy/stats/tests/data/nist_anova/SmLs03.dat new file mode 100644 index 0000000000000000000000000000000000000000..55dfa2313ffb152709c58b47c0058567b710d903 --- /dev/null +++ b/llava_next/lib/python3.10/site-packages/scipy/stats/tests/data/nist_anova/SmLs03.dat @@ -0,0 +1,18069 @@ +NIST/ITL StRD +Dataset Name: SmLs03 (SmLs03.dat) + + +File Format: ASCII + Certified Values (lines 41 to 47) + Data (lines 61 to 18069) + + +Procedure: Analysis of Variance + + +Reference: Simon, Stephen D. and Lesage, James P. (1989). + "Assessing the Accuracy of ANOVA Calculations in + Statistical Software". + Computational Statistics & Data Analysis, 8, pp. 325-332. + + +Data: 1 Factor + 9 Treatments + 2001 Replicates/Cell + 18009 Observations + 1 Constant Leading Digit + Lower Level of Difficulty + Generated Data + + +Model: 10 Parameters (mu,tau_1, ... , tau_9) + y_{ij} = mu + tau_i + epsilon_{ij} + + + + + + +Certified Values: + +Source of Sums of Mean +Variation df Squares Squares F Statistic + +Between Treatment 8 1.60080000000000E+02 2.00100000000000E+01 2.00100000000000E+03 +Within Treatment 18000 1.80000000000000E+02 1.00000000000000E-02 + + Certified R-Squared 4.70712773465067E-01 + + Certified Residual + Standard Deviation 1.00000000000000E-01 + + + + + + + + + + + + +Data: Treatment Response + 1 1.4 + 1 1.3 + 1 1.5 + 1 1.3 + 1 1.5 + 1 1.3 + 1 1.5 + 1 1.3 + 1 1.5 + 1 1.3 + 1 1.5 + 1 1.3 + 1 1.5 + 1 1.3 + 1 1.5 + 1 1.3 + 1 1.5 + 1 1.3 + 1 1.5 + 1 1.3 + 1 1.5 + 1 1.3 + 1 1.5 + 1 1.3 + 1 1.5 + 1 1.3 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b/llava_next/lib/python3.10/site-packages/scipy/stats/tests/data/nist_anova/SmLs04.dat new file mode 100644 index 0000000000000000000000000000000000000000..6a2a9fc935a56989b166de9b23f3df3bc4f64879 --- /dev/null +++ b/llava_next/lib/python3.10/site-packages/scipy/stats/tests/data/nist_anova/SmLs04.dat @@ -0,0 +1,249 @@ +NIST/ITL StRD +Dataset Name: SmLs04 (SmLs04.dat) + + +File Format: ASCII + Certified Values (lines 41 to 47) + Data (lines 61 to 249) + + +Procedure: Analysis of Variance + + +Reference: Simon, Stephen D. and Lesage, James P. 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+Procedure: Analysis of Variance + + +Reference: Simon, Stephen D. and Lesage, James P. (1989). + "Assessing the Accuracy of ANOVA Calculations in + Statistical Software". + Computational Statistics & Data Analysis, 8, pp. 325-332. + + +Data: 1 Factor + 9 Treatments + 21 Replicates/Cell + 189 Observations + 13 Constant Leading Digits + Higher Level of Difficulty + Generated Data + + +Model: 10 Parameters (mu,tau_1, ... , tau_9) + y_{ij} = mu + tau_i + epsilon_{ij} + + + + + + +Certified Values: + +Source of Sums of Mean +Variation df Squares Squares F Statistic + +Between Treatment 8 1.68000000000000E+00 2.10000000000000E-01 2.10000000000000E+01 +Within Treatment 180 1.80000000000000E+00 1.00000000000000E-02 + + Certified R-Squared 4.82758620689655E-01 + + Certified Residual + Standard Deviation 1.00000000000000E-01 + + + + + + + + + + + + +Data: Treatment Response + 1 1000000000000.4 + 1 1000000000000.3 + 1 1000000000000.5 + 1 1000000000000.3 + 1 1000000000000.5 + 1 1000000000000.3 + 1 1000000000000.5 + 1 1000000000000.3 + 1 1000000000000.5 + 1 1000000000000.3 + 1 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+NIST/ITL StRD +Dataset Name: SmLs09 (SmLs09.dat) + + +File Format: ASCII + Certified Values (lines 41 to 47) + Data (lines 61 to 18069) + + +Procedure: Analysis of Variance + + +Reference: Simon, Stephen D. and Lesage, James P. (1989). + "Assessing the Accuracy of ANOVA Calculations in + Statistical Software". + Computational Statistics & Data Analysis, 8, pp. 325-332. + + +Data: 1 Factor + 9 Treatments + 2001 Replicates/Cell + 18009 Observations + 13 Constant Leading Digits + Higher Level of Difficulty + Generated Data + + +Model: 10 Parameters (mu,tau_1, ... , tau_9) + y_{ij} = mu + tau_i + epsilon_{ij} + + + + + + +Certified Values: + +Source of Sums of Mean +Variation df Squares Squares F Statistic + +Between Treatment 8 1.60080000000000E+02 2.00100000000000E+01 2.00100000000000E+03 +Within Treatment 18000 1.80000000000000E+02 1.00000000000000E-02 + + Certified R-Squared 4.70712773465067E-01 + + Certified Residual + Standard Deviation 1.00000000000000E-01 + + + + + + + + + + + + +Data: Treatment Response + 1 1000000000000.4 + 1 1000000000000.3 + 1 1000000000000.5 + 1 1000000000000.3 + 1 1000000000000.5 + 1 1000000000000.3 + 1 1000000000000.5 + 1 1000000000000.3 + 1 1000000000000.5 + 1 1000000000000.3 + 1 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a/llava_next/lib/python3.10/site-packages/scipy/stats/tests/data/nist_linregress/Norris.dat b/llava_next/lib/python3.10/site-packages/scipy/stats/tests/data/nist_linregress/Norris.dat new file mode 100644 index 0000000000000000000000000000000000000000..4bf8ed911cae75824b27e5f5d5e444e17fa8eae8 --- /dev/null +++ b/llava_next/lib/python3.10/site-packages/scipy/stats/tests/data/nist_linregress/Norris.dat @@ -0,0 +1,97 @@ +NIST/ITL StRD +Dataset Name: Norris (Norris.dat) + +File Format: ASCII + Certified Values (lines 31 to 46) + Data (lines 61 to 96) + +Procedure: Linear Least Squares Regression + +Reference: Norris, J., NIST. + Calibration of Ozone Monitors. + +Data: 1 Response Variable (y) + 1 Predictor Variable (x) + 36 Observations + Lower Level of Difficulty + Observed Data + +Model: Linear Class + 2 Parameters (B0,B1) + + y = B0 + B1*x + e + + + + Certified Regression Statistics + + Standard Deviation + Parameter Estimate of Estimate + + B0 -0.262323073774029 0.232818234301152 + B1 1.00211681802045 0.429796848199937E-03 + + Residual + Standard Deviation 0.884796396144373 + + R-Squared 0.999993745883712 + + + Certified Analysis of Variance Table + +Source of Degrees of Sums of Mean +Variation Freedom Squares Squares F Statistic + +Regression 1 4255954.13232369 4255954.13232369 5436385.54079785 +Residual 34 26.6173985294224 0.782864662630069 + + + + + + + + + + + + + +Data: y x + 0.1 0.2 + 338.8 337.4 + 118.1 118.2 + 888.0 884.6 + 9.2 10.1 + 228.1 226.5 + 668.5 666.3 + 998.5 996.3 + 449.1 448.6 + 778.9 777.0 + 559.2 558.2 + 0.3 0.4 + 0.1 0.6 + 778.1 775.5 + 668.8 666.9 + 339.3 338.0 + 448.9 447.5 + 10.8 11.6 + 557.7 556.0 + 228.3 228.1 + 998.0 995.8 + 888.8 887.6 + 119.6 120.2 + 0.3 0.3 + 0.6 0.3 + 557.6 556.8 + 339.3 339.1 + 888.0 887.2 + 998.5 999.0 + 778.9 779.0 + 10.2 11.1 + 117.6 118.3 + 228.9 229.2 + 668.4 669.1 + 449.2 448.9 + 0.2 0.5 + diff --git a/llava_next/lib/python3.10/site-packages/scipy/stats/tests/data/studentized_range_mpmath_ref.json 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a/parrot/lib/python3.10/site-packages/hjson-3.1.0.dist-info/INSTALLER b/parrot/lib/python3.10/site-packages/hjson-3.1.0.dist-info/INSTALLER new file mode 100644 index 0000000000000000000000000000000000000000..a1b589e38a32041e49332e5e81c2d363dc418d68 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/hjson-3.1.0.dist-info/INSTALLER @@ -0,0 +1 @@ +pip diff --git a/parrot/lib/python3.10/site-packages/hjson-3.1.0.dist-info/LICENSE.txt b/parrot/lib/python3.10/site-packages/hjson-3.1.0.dist-info/LICENSE.txt new file mode 100644 index 0000000000000000000000000000000000000000..2457de3c33ed058a53dee761ffb864fc3f2bc658 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/hjson-3.1.0.dist-info/LICENSE.txt @@ -0,0 +1,81 @@ +hjson (based on simplejson) is dual-licensed software. It is available under the terms +of the MIT license, or the Academic Free License version 2.1. The full +text of each license agreement is included below. This code is also +licensed to the Python Software Foundation (PSF) under a Contributor +Agreement. + +MIT License +=========== + +Copyright (c) 2006 Bob Ippolito +Copyright (c) 2015 Christian Zangl + +Permission is hereby granted, free of charge, to any person obtaining a copy of +this software and associated documentation files (the "Software"), to deal in +the Software without restriction, including without limitation the rights to +use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies +of the Software, and to permit persons to whom the Software is furnished to do +so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 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This license may not be modified without the express written permission of its copyright owner. diff --git a/parrot/lib/python3.10/site-packages/hjson-3.1.0.dist-info/METADATA b/parrot/lib/python3.10/site-packages/hjson-3.1.0.dist-info/METADATA new file mode 100644 index 0000000000000000000000000000000000000000..5d78e45f7013def95c59fe264fd5cf54c1f00b31 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/hjson-3.1.0.dist-info/METADATA @@ -0,0 +1,125 @@ +Metadata-Version: 2.1 +Name: hjson +Version: 3.1.0 +Summary: Hjson, a user interface for JSON. +Home-page: http://github.com/hjson/hjson-py +Author: Christian Zangl +Author-email: laktak@cdak.net +License: MIT License +Keywords: json comments configuration +Platform: any +Classifier: Development Status :: 5 - Production/Stable +Classifier: Intended Audience :: Developers +Classifier: License :: OSI Approved :: MIT License +Classifier: License :: OSI Approved :: Academic Free License (AFL) +Classifier: Programming Language :: Python +Classifier: Programming Language :: Python :: 2 +Classifier: Programming Language :: Python :: 2.6 +Classifier: Programming Language :: Python :: 2.7 +Classifier: Programming Language :: Python :: 3 +Classifier: Programming Language :: Python :: 3.3 +Classifier: Programming Language :: Python :: 3.4 +Classifier: Programming Language :: Python :: 3.5 +Classifier: Programming Language :: Python :: Implementation :: CPython +Classifier: Programming Language :: Python :: Implementation :: PyPy +Classifier: Topic :: Software Development :: Libraries :: Python Modules +License-File: LICENSE.txt + +hjson-py +======== + +`Hjson`_, a user interface for JSON + +Hjson works with Python 2.5+ and Python 3.3+ (based on `simplejson`_) + +Installation +============ + +- ``pip install hjson`` + +- or download from https://pypi.python.org/pypi/hjson + +Commandline +----------- + +:: + + Usage: + hjson [options] + hjson [options] + hjson (-h | --help) + hjson (-V | --version) + + Options: + -h --help Show this screen. + -j Output as formatted JSON. + -c Output as JSON. + -V --version Show version. + +E.g. ``echo '{"json":"obj"}' | hjson`` + + +Usage +===== + +.. code-block:: python + + import hjson + +Decoding Hjson +-------------- + +.. code-block:: python + + text = """{ + foo: a + bar: 1 + }""" + + hjson.loads(text) + +Result: + +.. code-block:: python + + OrderedDict([('foo', 'a'), ('bar', 1)]) + +Encoding Python object hierarchies +---------------------------------- + +.. code-block:: python + + hjson.dumps({'foo': 'text', 'bar': (1, 2)}) + +Result: + +:: + + { + foo: text + bar: + [ + 1 + 2 + ] + } + +Encoding as JSON +---------------- + +Note that this is probably not as performant as the simplejson version. + +.. code-block:: python + + hjson.dumpsJSON(['foo', {'bar': ('baz', None, 1.0, 2)}]) + +Result: ``'["foo", {"bar": ["baz", null, 1.0, 2]}]'`` + +API +=== + +`hjson-py`_ + +.. _Hjson: https://hjson.github.io +.. _simplejson: https://github.com/simplejson/simplejson +.. _hjson-py: http://hjson.github.io/hjson-py/ diff --git a/parrot/lib/python3.10/site-packages/hjson-3.1.0.dist-info/REQUESTED b/parrot/lib/python3.10/site-packages/hjson-3.1.0.dist-info/REQUESTED new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/parrot/lib/python3.10/site-packages/hjson-3.1.0.dist-info/WHEEL b/parrot/lib/python3.10/site-packages/hjson-3.1.0.dist-info/WHEEL new file mode 100644 index 0000000000000000000000000000000000000000..becc9a66ea739ba941d48a749e248761cc6e658a --- /dev/null +++ b/parrot/lib/python3.10/site-packages/hjson-3.1.0.dist-info/WHEEL @@ -0,0 +1,5 @@ +Wheel-Version: 1.0 +Generator: bdist_wheel (0.37.1) +Root-Is-Purelib: true +Tag: py3-none-any + diff --git a/parrot/lib/python3.10/site-packages/hjson-3.1.0.dist-info/top_level.txt b/parrot/lib/python3.10/site-packages/hjson-3.1.0.dist-info/top_level.txt new file mode 100644 index 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f"/loky-{os.getpid()}-{next(synchronize.SemLock._rand)}" + + +# monkey patch the name creation for multiprocessing +synchronize.SemLock._make_name = staticmethod(_make_name) + +__all__ = ["get_context"] diff --git a/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/__pycache__/_posix_reduction.cpython-310.pyc b/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/__pycache__/_posix_reduction.cpython-310.pyc new file mode 100644 index 0000000000000000000000000000000000000000..3989e82bb725e38330edaf4efca8b30130db636d Binary files /dev/null and b/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/__pycache__/_posix_reduction.cpython-310.pyc differ diff --git a/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/__pycache__/fork_exec.cpython-310.pyc b/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/__pycache__/fork_exec.cpython-310.pyc new file mode 100644 index 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/dev/null +++ b/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/_posix_reduction.py @@ -0,0 +1,67 @@ +############################################################################### +# Extra reducers for Unix based system and connections objects +# +# author: Thomas Moreau and Olivier Grisel +# +# adapted from multiprocessing/reduction.py (17/02/2017) +# * Add adapted reduction for LokyProcesses and socket/Connection +# +import os +import socket +import _socket +from multiprocessing.connection import Connection +from multiprocessing.context import get_spawning_popen + +from .reduction import register + +HAVE_SEND_HANDLE = ( + hasattr(socket, "CMSG_LEN") + and hasattr(socket, "SCM_RIGHTS") + and hasattr(socket.socket, "sendmsg") +) + + +def _mk_inheritable(fd): + os.set_inheritable(fd, True) + return fd + + +def DupFd(fd): + """Return a wrapper for an fd.""" + popen_obj = get_spawning_popen() + if popen_obj is not None: + return popen_obj.DupFd(popen_obj.duplicate_for_child(fd)) + elif HAVE_SEND_HANDLE: + from multiprocessing import resource_sharer + + return resource_sharer.DupFd(fd) + else: + raise TypeError( + "Cannot pickle connection object. This object can only be " + "passed when spawning a new process" + ) + + +def _reduce_socket(s): + df = DupFd(s.fileno()) + return _rebuild_socket, (df, s.family, s.type, s.proto) + + +def _rebuild_socket(df, family, type, proto): + fd = df.detach() + return socket.fromfd(fd, family, type, proto) + + +def rebuild_connection(df, readable, writable): + fd = df.detach() + return Connection(fd, readable, writable) + + +def reduce_connection(conn): + df = DupFd(conn.fileno()) + return rebuild_connection, (df, conn.readable, conn.writable) + + +register(socket.socket, _reduce_socket) +register(_socket.socket, _reduce_socket) +register(Connection, reduce_connection) diff --git a/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/_win_reduction.py b/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/_win_reduction.py new file mode 100644 index 0000000000000000000000000000000000000000..506d0ecba7c8951ddeaa05b48eb1bdadc8d5ff46 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/_win_reduction.py @@ -0,0 +1,18 @@ +############################################################################### +# Extra reducers for Windows system and connections objects +# +# author: Thomas Moreau and Olivier Grisel +# +# adapted from multiprocessing/reduction.py (17/02/2017) +# * Add adapted reduction for LokyProcesses and socket/PipeConnection +# +import socket +from multiprocessing import connection +from multiprocessing.reduction import _reduce_socket + +from .reduction import register + +# register reduction for win32 communication objects +register(socket.socket, _reduce_socket) +register(connection.Connection, connection.reduce_connection) +register(connection.PipeConnection, connection.reduce_pipe_connection) diff --git a/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/fork_exec.py b/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/fork_exec.py new file mode 100644 index 0000000000000000000000000000000000000000..2353c42f51a6e6c558ce70e35e1b7405e22d70ed --- /dev/null +++ b/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/fork_exec.py @@ -0,0 +1,43 @@ +############################################################################### +# Launch a subprocess using forkexec and make sure only the needed fd are +# shared in the two process. +# +# author: Thomas Moreau and Olivier Grisel +# +import os +import sys + + +def close_fds(keep_fds): # pragma: no cover + """Close all the file descriptors except those in keep_fds.""" + + # Make sure to keep stdout and stderr open for logging purpose + keep_fds = {*keep_fds, 1, 2} + + # We try to retrieve all the open fds + try: + open_fds = {int(fd) for fd in os.listdir("/proc/self/fd")} + except FileNotFoundError: + import resource + + max_nfds = resource.getrlimit(resource.RLIMIT_NOFILE)[0] + open_fds = {*range(max_nfds)} + + for i in open_fds - keep_fds: + try: + os.close(i) + except OSError: + pass + + +def fork_exec(cmd, keep_fds, env=None): + # copy the environment variables to set in the child process + env = env or {} + child_env = {**os.environ, **env} + + pid = os.fork() + if pid == 0: # pragma: no cover + close_fds(keep_fds) + os.execve(sys.executable, cmd, child_env) + else: + return pid diff --git a/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/popen_loky_posix.py b/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/popen_loky_posix.py new file mode 100644 index 0000000000000000000000000000000000000000..74395be0757f0a07ef92a7b0efe1e1ea4ecdac77 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/popen_loky_posix.py @@ -0,0 +1,193 @@ +############################################################################### +# Popen for LokyProcess. +# +# author: Thomas Moreau and Olivier Grisel +# +import os +import sys +import signal +import pickle +from io import BytesIO +from multiprocessing import util, process +from multiprocessing.connection import wait +from multiprocessing.context import set_spawning_popen + +from . import reduction, resource_tracker, spawn + + +__all__ = ["Popen"] + + +# +# Wrapper for an fd used while launching a process +# + + +class _DupFd: + def __init__(self, fd): + self.fd = reduction._mk_inheritable(fd) + + def detach(self): + return self.fd + + +# +# Start child process using subprocess.Popen +# + + +class Popen: + method = "loky" + DupFd = _DupFd + + def __init__(self, process_obj): + sys.stdout.flush() + sys.stderr.flush() + self.returncode = None + self._fds = [] + self._launch(process_obj) + + def duplicate_for_child(self, fd): + self._fds.append(fd) + return reduction._mk_inheritable(fd) + + def poll(self, flag=os.WNOHANG): + if self.returncode is None: + while True: + try: + pid, sts = os.waitpid(self.pid, flag) + except OSError: + # Child process not yet created. See #1731717 + # e.errno == errno.ECHILD == 10 + return None + else: + break + if pid == self.pid: + if os.WIFSIGNALED(sts): + self.returncode = -os.WTERMSIG(sts) + else: + assert os.WIFEXITED(sts) + self.returncode = os.WEXITSTATUS(sts) + return self.returncode + + def wait(self, timeout=None): + if self.returncode is None: + if timeout is not None: + if not wait([self.sentinel], timeout): + return None + # This shouldn't block if wait() returned successfully. + return self.poll(os.WNOHANG if timeout == 0.0 else 0) + return self.returncode + + def terminate(self): + if self.returncode is None: + try: + os.kill(self.pid, signal.SIGTERM) + except ProcessLookupError: + pass + except OSError: + if self.wait(timeout=0.1) is None: + raise + + def _launch(self, process_obj): + + tracker_fd = resource_tracker._resource_tracker.getfd() + + fp = BytesIO() + set_spawning_popen(self) + try: + prep_data = spawn.get_preparation_data( + process_obj._name, + getattr(process_obj, "init_main_module", True), + ) + reduction.dump(prep_data, fp) + reduction.dump(process_obj, fp) + + finally: + set_spawning_popen(None) + + try: + parent_r, child_w = os.pipe() + child_r, parent_w = os.pipe() + # for fd in self._fds: + # _mk_inheritable(fd) + + cmd_python = [sys.executable] + cmd_python += ["-m", self.__module__] + cmd_python += ["--process-name", str(process_obj.name)] + cmd_python += ["--pipe", str(reduction._mk_inheritable(child_r))] + reduction._mk_inheritable(child_w) + reduction._mk_inheritable(tracker_fd) + self._fds += [child_r, child_w, tracker_fd] + if sys.version_info >= (3, 8) and os.name == "posix": + mp_tracker_fd = prep_data["mp_tracker_args"]["fd"] + self.duplicate_for_child(mp_tracker_fd) + + from .fork_exec import fork_exec + + pid = fork_exec(cmd_python, self._fds, env=process_obj.env) + util.debug( + f"launched python with pid {pid} and cmd:\n{cmd_python}" + ) + self.sentinel = parent_r + + method = "getbuffer" + if not hasattr(fp, method): + method = "getvalue" + with os.fdopen(parent_w, "wb") as f: + f.write(getattr(fp, method)()) + self.pid = pid + finally: + if parent_r is not None: + util.Finalize(self, os.close, (parent_r,)) + for fd in (child_r, child_w): + if fd is not None: + os.close(fd) + + @staticmethod + def thread_is_spawning(): + return True + + +if __name__ == "__main__": + import argparse + + parser = argparse.ArgumentParser("Command line parser") + parser.add_argument( + "--pipe", type=int, required=True, help="File handle for the pipe" + ) + parser.add_argument( + "--process-name", + type=str, + default=None, + help="Identifier for debugging purpose", + ) + + args = parser.parse_args() + + info = {} + exitcode = 1 + try: + with os.fdopen(args.pipe, "rb") as from_parent: + process.current_process()._inheriting = True + try: + prep_data = pickle.load(from_parent) + spawn.prepare(prep_data) + process_obj = pickle.load(from_parent) + finally: + del process.current_process()._inheriting + + exitcode = process_obj._bootstrap() + except Exception: + print("\n\n" + "-" * 80) + print(f"{args.process_name} failed with traceback: ") + print("-" * 80) + import traceback + + print(traceback.format_exc()) + print("\n" + "-" * 80) + finally: + if from_parent is not None: + from_parent.close() + + sys.exit(exitcode) diff --git a/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/popen_loky_win32.py b/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/popen_loky_win32.py new file mode 100644 index 0000000000000000000000000000000000000000..4f85f65df5e22bc2342f44c4a59b5e2ece63a81f --- /dev/null +++ b/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/popen_loky_win32.py @@ -0,0 +1,173 @@ +import os +import sys +import msvcrt +import _winapi +from pickle import load +from multiprocessing import process, util +from multiprocessing.context import set_spawning_popen +from multiprocessing.popen_spawn_win32 import Popen as _Popen + +from . import reduction, spawn + + +__all__ = ["Popen"] + +# +# +# + + +def _path_eq(p1, p2): + return p1 == p2 or os.path.normcase(p1) == os.path.normcase(p2) + + +WINENV = hasattr(sys, "_base_executable") and not _path_eq( + sys.executable, sys._base_executable +) + + +def _close_handles(*handles): + for handle in handles: + _winapi.CloseHandle(handle) + + +# +# We define a Popen class similar to the one from subprocess, but +# whose constructor takes a process object as its argument. +# + + +class Popen(_Popen): + """ + Start a subprocess to run the code of a process object. + + We differ from cpython implementation with the way we handle environment + variables, in order to be able to modify then in the child processes before + importing any library, in order to control the number of threads in C-level + threadpools. + + We also use the loky preparation data, in particular to handle main_module + inits and the loky resource tracker. + """ + + method = "loky" + + def __init__(self, process_obj): + prep_data = spawn.get_preparation_data( + process_obj._name, getattr(process_obj, "init_main_module", True) + ) + + # read end of pipe will be duplicated by the child process + # -- see spawn_main() in spawn.py. + # + # bpo-33929: Previously, the read end of pipe was "stolen" by the child + # process, but it leaked a handle if the child process had been + # terminated before it could steal the handle from the parent process. + rhandle, whandle = _winapi.CreatePipe(None, 0) + wfd = msvcrt.open_osfhandle(whandle, 0) + cmd = get_command_line(parent_pid=os.getpid(), pipe_handle=rhandle) + + python_exe = spawn.get_executable() + + # copy the environment variables to set in the child process + child_env = {**os.environ, **process_obj.env} + + # bpo-35797: When running in a venv, we bypass the redirect + # executor and launch our base Python. + if WINENV and _path_eq(python_exe, sys.executable): + cmd[0] = python_exe = sys._base_executable + child_env["__PYVENV_LAUNCHER__"] = sys.executable + + cmd = " ".join(f'"{x}"' for x in cmd) + + with open(wfd, "wb") as to_child: + # start process + try: + hp, ht, pid, _ = _winapi.CreateProcess( + python_exe, + cmd, + None, + None, + False, + 0, + child_env, + None, + None, + ) + _winapi.CloseHandle(ht) + except BaseException: + _winapi.CloseHandle(rhandle) + raise + + # set attributes of self + self.pid = pid + self.returncode = None + self._handle = hp + self.sentinel = int(hp) + self.finalizer = util.Finalize( + self, _close_handles, (self.sentinel, int(rhandle)) + ) + + # send information to child + set_spawning_popen(self) + try: + reduction.dump(prep_data, to_child) + reduction.dump(process_obj, to_child) + finally: + set_spawning_popen(None) + + +def get_command_line(pipe_handle, parent_pid, **kwds): + """Returns prefix of command line used for spawning a child process.""" + if getattr(sys, "frozen", False): + return [sys.executable, "--multiprocessing-fork", pipe_handle] + else: + prog = ( + "from joblib.externals.loky.backend.popen_loky_win32 import main; " + f"main(pipe_handle={pipe_handle}, parent_pid={parent_pid})" + ) + opts = util._args_from_interpreter_flags() + return [ + spawn.get_executable(), + *opts, + "-c", + prog, + "--multiprocessing-fork", + ] + + +def is_forking(argv): + """Return whether commandline indicates we are forking.""" + if len(argv) >= 2 and argv[1] == "--multiprocessing-fork": + return True + else: + return False + + +def main(pipe_handle, parent_pid=None): + """Run code specified by data received over pipe.""" + assert is_forking(sys.argv), "Not forking" + + if parent_pid is not None: + source_process = _winapi.OpenProcess( + _winapi.SYNCHRONIZE | _winapi.PROCESS_DUP_HANDLE, False, parent_pid + ) + else: + source_process = None + new_handle = reduction.duplicate( + pipe_handle, source_process=source_process + ) + fd = msvcrt.open_osfhandle(new_handle, os.O_RDONLY) + parent_sentinel = source_process + + with os.fdopen(fd, "rb", closefd=True) as from_parent: + process.current_process()._inheriting = True + try: + preparation_data = load(from_parent) + spawn.prepare(preparation_data, parent_sentinel) + self = load(from_parent) + finally: + del process.current_process()._inheriting + + exitcode = self._bootstrap(parent_sentinel) + sys.exit(exitcode) diff --git a/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/process.py b/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/process.py new file mode 100644 index 0000000000000000000000000000000000000000..356255094b7647be8de6998a8752dd7807b25e10 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/process.py @@ -0,0 +1,85 @@ +############################################################################### +# LokyProcess implementation +# +# authors: Thomas Moreau and Olivier Grisel +# +# based on multiprocessing/process.py (17/02/2017) +# +import sys +from multiprocessing.context import assert_spawning +from multiprocessing.process import BaseProcess + + +class LokyProcess(BaseProcess): + _start_method = "loky" + + def __init__( + self, + group=None, + target=None, + name=None, + args=(), + kwargs={}, + daemon=None, + init_main_module=False, + env=None, + ): + super().__init__( + group=group, + target=target, + name=name, + args=args, + kwargs=kwargs, + daemon=daemon, + ) + self.env = {} if env is None else env + self.authkey = self.authkey + self.init_main_module = init_main_module + + @staticmethod + def _Popen(process_obj): + if sys.platform == "win32": + from .popen_loky_win32 import Popen + else: + from .popen_loky_posix import Popen + return Popen(process_obj) + + +class LokyInitMainProcess(LokyProcess): + _start_method = "loky_init_main" + + def __init__( + self, + group=None, + target=None, + name=None, + args=(), + kwargs={}, + daemon=None, + ): + super().__init__( + group=group, + target=target, + name=name, + args=args, + kwargs=kwargs, + daemon=daemon, + init_main_module=True, + ) + + +# +# We subclass bytes to avoid accidental transmission of auth keys over network +# + + +class AuthenticationKey(bytes): + def __reduce__(self): + try: + assert_spawning(self) + except RuntimeError: + raise TypeError( + "Pickling an AuthenticationKey object is " + "disallowed for security reasons" + ) + return AuthenticationKey, (bytes(self),) diff --git a/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/queues.py b/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/queues.py new file mode 100644 index 0000000000000000000000000000000000000000..5afd99b420fbc480ed5eb743333a687110a90e49 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/queues.py @@ -0,0 +1,236 @@ +############################################################################### +# Queue and SimpleQueue implementation for loky +# +# authors: Thomas Moreau, Olivier Grisel +# +# based on multiprocessing/queues.py (16/02/2017) +# * Add some custom reducers for the Queues/SimpleQueue to tweak the +# pickling process. (overload Queue._feed/SimpleQueue.put) +# +import os +import sys +import errno +import weakref +import threading +from multiprocessing import util +from multiprocessing.queues import ( + Full, + Queue as mp_Queue, + SimpleQueue as mp_SimpleQueue, + _sentinel, +) +from multiprocessing.context import assert_spawning + +from .reduction import dumps + + +__all__ = ["Queue", "SimpleQueue", "Full"] + + +class Queue(mp_Queue): + def __init__(self, maxsize=0, reducers=None, ctx=None): + super().__init__(maxsize=maxsize, ctx=ctx) + self._reducers = reducers + + # Use custom queue set/get state to be able to reduce the custom reducers + def __getstate__(self): + assert_spawning(self) + return ( + self._ignore_epipe, + self._maxsize, + self._reader, + self._writer, + self._reducers, + self._rlock, + self._wlock, + self._sem, + self._opid, + ) + + def __setstate__(self, state): + ( + self._ignore_epipe, + self._maxsize, + self._reader, + self._writer, + self._reducers, + self._rlock, + self._wlock, + self._sem, + self._opid, + ) = state + if sys.version_info >= (3, 9): + self._reset() + else: + self._after_fork() + + # Overload _start_thread to correctly call our custom _feed + def _start_thread(self): + util.debug("Queue._start_thread()") + + # Start thread which transfers data from buffer to pipe + self._buffer.clear() + self._thread = threading.Thread( + target=Queue._feed, + args=( + self._buffer, + self._notempty, + self._send_bytes, + self._wlock, + self._writer.close, + self._reducers, + self._ignore_epipe, + self._on_queue_feeder_error, + self._sem, + ), + name="QueueFeederThread", + ) + self._thread.daemon = True + + util.debug("doing self._thread.start()") + self._thread.start() + util.debug("... done self._thread.start()") + + # On process exit we will wait for data to be flushed to pipe. + # + # However, if this process created the queue then all + # processes which use the queue will be descendants of this + # process. Therefore waiting for the queue to be flushed + # is pointless once all the child processes have been joined. + created_by_this_process = self._opid == os.getpid() + if not self._joincancelled and not created_by_this_process: + self._jointhread = util.Finalize( + self._thread, + Queue._finalize_join, + [weakref.ref(self._thread)], + exitpriority=-5, + ) + + # Send sentinel to the thread queue object when garbage collected + self._close = util.Finalize( + self, + Queue._finalize_close, + [self._buffer, self._notempty], + exitpriority=10, + ) + + # Overload the _feed methods to use our custom pickling strategy. + @staticmethod + def _feed( + buffer, + notempty, + send_bytes, + writelock, + close, + reducers, + ignore_epipe, + onerror, + queue_sem, + ): + util.debug("starting thread to feed data to pipe") + nacquire = notempty.acquire + nrelease = notempty.release + nwait = notempty.wait + bpopleft = buffer.popleft + sentinel = _sentinel + if sys.platform != "win32": + wacquire = writelock.acquire + wrelease = writelock.release + else: + wacquire = None + + while True: + try: + nacquire() + try: + if not buffer: + nwait() + finally: + nrelease() + try: + while True: + obj = bpopleft() + if obj is sentinel: + util.debug("feeder thread got sentinel -- exiting") + close() + return + + # serialize the data before acquiring the lock + obj_ = dumps(obj, reducers=reducers) + if wacquire is None: + send_bytes(obj_) + else: + wacquire() + try: + send_bytes(obj_) + finally: + wrelease() + # Remove references early to avoid leaking memory + del obj, obj_ + except IndexError: + pass + except BaseException as e: + if ignore_epipe and getattr(e, "errno", 0) == errno.EPIPE: + return + # Since this runs in a daemon thread the resources it uses + # may be become unusable while the process is cleaning up. + # We ignore errors which happen after the process has + # started to cleanup. + if util.is_exiting(): + util.info(f"error in queue thread: {e}") + return + else: + queue_sem.release() + onerror(e, obj) + + def _on_queue_feeder_error(self, e, obj): + """ + Private API hook called when feeding data in the background thread + raises an exception. For overriding by concurrent.futures. + """ + import traceback + + traceback.print_exc() + + +class SimpleQueue(mp_SimpleQueue): + def __init__(self, reducers=None, ctx=None): + super().__init__(ctx=ctx) + + # Add possiblity to use custom reducers + self._reducers = reducers + + def close(self): + self._reader.close() + self._writer.close() + + # Use custom queue set/get state to be able to reduce the custom reducers + def __getstate__(self): + assert_spawning(self) + return ( + self._reader, + self._writer, + self._reducers, + self._rlock, + self._wlock, + ) + + def __setstate__(self, state): + ( + self._reader, + self._writer, + self._reducers, + self._rlock, + self._wlock, + ) = state + + # Overload put to use our customizable reducer + def put(self, obj): + # serialize the data before acquiring the lock + obj = dumps(obj, reducers=self._reducers) + if self._wlock is None: + # writes to a message oriented win32 pipe are atomic + self._writer.send_bytes(obj) + else: + with self._wlock: + self._writer.send_bytes(obj) diff --git a/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/reduction.py b/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/reduction.py new file mode 100644 index 0000000000000000000000000000000000000000..bed32ba9e18f7d0fccab7ead6095996d27f448e2 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/reduction.py @@ -0,0 +1,224 @@ +############################################################################### +# Customizable Pickler with some basic reducers +# +# author: Thomas Moreau +# +# adapted from multiprocessing/reduction.py (17/02/2017) +# * Replace the ForkingPickler with a similar _LokyPickler, +# * Add CustomizableLokyPickler to allow customizing pickling process +# on the fly. +# +import copyreg +import io +import functools +import types +import sys +import os + +from multiprocessing import util +from pickle import loads, HIGHEST_PROTOCOL + +############################################################################### +# Enable custom pickling in Loky. + +_dispatch_table = {} + + +def register(type_, reduce_function): + _dispatch_table[type_] = reduce_function + + +############################################################################### +# Registers extra pickling routines to improve picklization for loky + + +# make methods picklable +def _reduce_method(m): + if m.__self__ is None: + return getattr, (m.__class__, m.__func__.__name__) + else: + return getattr, (m.__self__, m.__func__.__name__) + + +class _C: + def f(self): + pass + + @classmethod + def h(cls): + pass + + +register(type(_C().f), _reduce_method) +register(type(_C.h), _reduce_method) + + +if not hasattr(sys, "pypy_version_info"): + # PyPy uses functions instead of method_descriptors and wrapper_descriptors + def _reduce_method_descriptor(m): + return getattr, (m.__objclass__, m.__name__) + + register(type(list.append), _reduce_method_descriptor) + register(type(int.__add__), _reduce_method_descriptor) + + +# Make partial func pickable +def _reduce_partial(p): + return _rebuild_partial, (p.func, p.args, p.keywords or {}) + + +def _rebuild_partial(func, args, keywords): + return functools.partial(func, *args, **keywords) + + +register(functools.partial, _reduce_partial) + +if sys.platform != "win32": + from ._posix_reduction import _mk_inheritable # noqa: F401 +else: + from . import _win_reduction # noqa: F401 + +# global variable to change the pickler behavior +try: + from joblib.externals import cloudpickle # noqa: F401 + + DEFAULT_ENV = "cloudpickle" +except ImportError: + # If cloudpickle is not present, fallback to pickle + DEFAULT_ENV = "pickle" + +ENV_LOKY_PICKLER = os.environ.get("LOKY_PICKLER", DEFAULT_ENV) +_LokyPickler = None +_loky_pickler_name = None + + +def set_loky_pickler(loky_pickler=None): + global _LokyPickler, _loky_pickler_name + + if loky_pickler is None: + loky_pickler = ENV_LOKY_PICKLER + + loky_pickler_cls = None + + # The default loky_pickler is cloudpickle + if loky_pickler in ["", None]: + loky_pickler = "cloudpickle" + + if loky_pickler == _loky_pickler_name: + return + + if loky_pickler == "cloudpickle": + from joblib.externals.cloudpickle import CloudPickler as loky_pickler_cls + else: + try: + from importlib import import_module + + module_pickle = import_module(loky_pickler) + loky_pickler_cls = module_pickle.Pickler + except (ImportError, AttributeError) as e: + extra_info = ( + "\nThis error occurred while setting loky_pickler to" + f" '{loky_pickler}', as required by the env variable " + "LOKY_PICKLER or the function set_loky_pickler." + ) + e.args = (e.args[0] + extra_info,) + e.args[1:] + e.msg = e.args[0] + raise e + + util.debug( + f"Using '{loky_pickler if loky_pickler else 'cloudpickle'}' for " + "serialization." + ) + + class CustomizablePickler(loky_pickler_cls): + _loky_pickler_cls = loky_pickler_cls + + def _set_dispatch_table(self, dispatch_table): + for ancestor_class in self._loky_pickler_cls.mro(): + dt_attribute = getattr(ancestor_class, "dispatch_table", None) + if isinstance(dt_attribute, types.MemberDescriptorType): + # Ancestor class (typically _pickle.Pickler) has a + # member_descriptor for its "dispatch_table" attribute. Use + # it to set the dispatch_table as a member instead of a + # dynamic attribute in the __dict__ of the instance, + # otherwise it will not be taken into account by the C + # implementation of the dump method if a subclass defines a + # class-level dispatch_table attribute as was done in + # cloudpickle 1.6.0: + # https://github.com/joblib/loky/pull/260 + dt_attribute.__set__(self, dispatch_table) + break + + # On top of member descriptor set, also use setattr such that code + # that directly access self.dispatch_table gets a consistent view + # of the same table. + self.dispatch_table = dispatch_table + + def __init__(self, writer, reducers=None, protocol=HIGHEST_PROTOCOL): + loky_pickler_cls.__init__(self, writer, protocol=protocol) + if reducers is None: + reducers = {} + + if hasattr(self, "dispatch_table"): + # Force a copy that we will update without mutating the + # any class level defined dispatch_table. + loky_dt = dict(self.dispatch_table) + else: + # Use standard reducers as bases + loky_dt = copyreg.dispatch_table.copy() + + # Register loky specific reducers + loky_dt.update(_dispatch_table) + + # Set the new dispatch table, taking care of the fact that we + # need to use the member_descriptor when we inherit from a + # subclass of the C implementation of the Pickler base class + # with an class level dispatch_table attribute. + self._set_dispatch_table(loky_dt) + + # Register the reducers + for type, reduce_func in reducers.items(): + self.register(type, reduce_func) + + def register(self, type, reduce_func): + """Attach a reducer function to a given type in the dispatch table.""" + self.dispatch_table[type] = reduce_func + + _LokyPickler = CustomizablePickler + _loky_pickler_name = loky_pickler + + +def get_loky_pickler_name(): + global _loky_pickler_name + return _loky_pickler_name + + +def get_loky_pickler(): + global _LokyPickler + return _LokyPickler + + +# Set it to its default value +set_loky_pickler() + + +def dump(obj, file, reducers=None, protocol=None): + """Replacement for pickle.dump() using _LokyPickler.""" + global _LokyPickler + _LokyPickler(file, reducers=reducers, protocol=protocol).dump(obj) + + +def dumps(obj, reducers=None, protocol=None): + global _LokyPickler + + buf = io.BytesIO() + dump(obj, buf, reducers=reducers, protocol=protocol) + return buf.getbuffer() + + +__all__ = ["dump", "dumps", "loads", "register", "set_loky_pickler"] + +if sys.platform == "win32": + from multiprocessing.reduction import duplicate + + __all__ += ["duplicate"] diff --git a/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/resource_tracker.py b/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/resource_tracker.py new file mode 100644 index 0000000000000000000000000000000000000000..25204a7a729d4d5f295070cd050c17a4ed9d49b7 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/resource_tracker.py @@ -0,0 +1,378 @@ +############################################################################### +# Server process to keep track of unlinked resources, like folders and +# semaphores and clean them. +# +# author: Thomas Moreau +# +# adapted from multiprocessing/semaphore_tracker.py (17/02/2017) +# * include custom spawnv_passfds to start the process +# * add some VERBOSE logging +# +# TODO: multiprocessing.resource_tracker was contributed to Python 3.8 so +# once loky drops support for Python 3.7 it might be possible to stop +# maintaining this loky-specific fork. As a consequence, it might also be +# possible to stop maintaining the loky.backend.synchronize fork of +# multiprocessing.synchronize. + +# +# On Unix we run a server process which keeps track of unlinked +# resources. The server ignores SIGINT and SIGTERM and reads from a +# pipe. The resource_tracker implements a reference counting scheme: each time +# a Python process anticipates the shared usage of a resource by another +# process, it signals the resource_tracker of this shared usage, and in return, +# the resource_tracker increments the resource's reference count by 1. +# Similarly, when access to a resource is closed by a Python process, the +# process notifies the resource_tracker by asking it to decrement the +# resource's reference count by 1. When the reference count drops to 0, the +# resource_tracker attempts to clean up the underlying resource. + +# Finally, every other process connected to the resource tracker has a copy of +# the writable end of the pipe used to communicate with it, so the resource +# tracker gets EOF when all other processes have exited. Then the +# resource_tracker process unlinks any remaining leaked resources (with +# reference count above 0) + +# For semaphores, this is important because the system only supports a limited +# number of named semaphores, and they will not be automatically removed till +# the next reboot. Without this resource tracker process, "killall python" +# would probably leave unlinked semaphores. + +# Note that this behavior differs from CPython's resource_tracker, which only +# implements list of shared resources, and not a proper refcounting scheme. +# Also, CPython's resource tracker will only attempt to cleanup those shared +# resources once all procsses connected to the resouce tracker have exited. + + +import os +import shutil +import sys +import signal +import warnings +import threading +from _multiprocessing import sem_unlink +from multiprocessing import util + +from . import spawn + +if sys.platform == "win32": + import _winapi + import msvcrt + from multiprocessing.reduction import duplicate + + +__all__ = ["ensure_running", "register", "unregister"] + +_HAVE_SIGMASK = hasattr(signal, "pthread_sigmask") +_IGNORED_SIGNALS = (signal.SIGINT, signal.SIGTERM) + +_CLEANUP_FUNCS = {"folder": shutil.rmtree, "file": os.unlink} + +if os.name == "posix": + _CLEANUP_FUNCS["semlock"] = sem_unlink + + +VERBOSE = False + + +class ResourceTracker: + def __init__(self): + self._lock = threading.Lock() + self._fd = None + self._pid = None + + def getfd(self): + self.ensure_running() + return self._fd + + def ensure_running(self): + """Make sure that resource tracker process is running. + + This can be run from any process. Usually a child process will use + the resource created by its parent.""" + with self._lock: + if self._fd is not None: + # resource tracker was launched before, is it still running? + if self._check_alive(): + # => still alive + return + # => dead, launch it again + os.close(self._fd) + if os.name == "posix": + try: + # At this point, the resource_tracker process has been + # killed or crashed. Let's remove the process entry + # from the process table to avoid zombie processes. + os.waitpid(self._pid, 0) + except OSError: + # The process was terminated or is a child from an + # ancestor of the current process. + pass + self._fd = None + self._pid = None + + warnings.warn( + "resource_tracker: process died unexpectedly, " + "relaunching. Some folders/sempahores might " + "leak." + ) + + fds_to_pass = [] + try: + fds_to_pass.append(sys.stderr.fileno()) + except Exception: + pass + + r, w = os.pipe() + if sys.platform == "win32": + _r = duplicate(msvcrt.get_osfhandle(r), inheritable=True) + os.close(r) + r = _r + + cmd = f"from {main.__module__} import main; main({r}, {VERBOSE})" + try: + fds_to_pass.append(r) + # process will out live us, so no need to wait on pid + exe = spawn.get_executable() + args = [exe, *util._args_from_interpreter_flags(), "-c", cmd] + util.debug(f"launching resource tracker: {args}") + # bpo-33613: Register a signal mask that will block the + # signals. This signal mask will be inherited by the child + # that is going to be spawned and will protect the child from a + # race condition that can make the child die before it + # registers signal handlers for SIGINT and SIGTERM. The mask is + # unregistered after spawning the child. + try: + if _HAVE_SIGMASK: + signal.pthread_sigmask( + signal.SIG_BLOCK, _IGNORED_SIGNALS + ) + pid = spawnv_passfds(exe, args, fds_to_pass) + finally: + if _HAVE_SIGMASK: + signal.pthread_sigmask( + signal.SIG_UNBLOCK, _IGNORED_SIGNALS + ) + except BaseException: + os.close(w) + raise + else: + self._fd = w + self._pid = pid + finally: + if sys.platform == "win32": + _winapi.CloseHandle(r) + else: + os.close(r) + + def _check_alive(self): + """Check for the existence of the resource tracker process.""" + try: + self._send("PROBE", "", "") + except BrokenPipeError: + return False + else: + return True + + def register(self, name, rtype): + """Register a named resource, and increment its refcount.""" + self.ensure_running() + self._send("REGISTER", name, rtype) + + def unregister(self, name, rtype): + """Unregister a named resource with resource tracker.""" + self.ensure_running() + self._send("UNREGISTER", name, rtype) + + def maybe_unlink(self, name, rtype): + """Decrement the refcount of a resource, and delete it if it hits 0""" + self.ensure_running() + self._send("MAYBE_UNLINK", name, rtype) + + def _send(self, cmd, name, rtype): + if len(name) > 512: + # posix guarantees that writes to a pipe of less than PIPE_BUF + # bytes are atomic, and that PIPE_BUF >= 512 + raise ValueError("name too long") + msg = f"{cmd}:{name}:{rtype}\n".encode("ascii") + nbytes = os.write(self._fd, msg) + assert nbytes == len(msg) + + +_resource_tracker = ResourceTracker() +ensure_running = _resource_tracker.ensure_running +register = _resource_tracker.register +maybe_unlink = _resource_tracker.maybe_unlink +unregister = _resource_tracker.unregister +getfd = _resource_tracker.getfd + + +def main(fd, verbose=0): + """Run resource tracker.""" + # protect the process from ^C and "killall python" etc + if verbose: + util.log_to_stderr(level=util.DEBUG) + + signal.signal(signal.SIGINT, signal.SIG_IGN) + signal.signal(signal.SIGTERM, signal.SIG_IGN) + + if _HAVE_SIGMASK: + signal.pthread_sigmask(signal.SIG_UNBLOCK, _IGNORED_SIGNALS) + + for f in (sys.stdin, sys.stdout): + try: + f.close() + except Exception: + pass + + if verbose: + util.debug("Main resource tracker is running") + + registry = {rtype: {} for rtype in _CLEANUP_FUNCS.keys()} + try: + # keep track of registered/unregistered resources + if sys.platform == "win32": + fd = msvcrt.open_osfhandle(fd, os.O_RDONLY) + with open(fd, "rb") as f: + while True: + line = f.readline() + if line == b"": # EOF + break + try: + splitted = line.strip().decode("ascii").split(":") + # name can potentially contain separator symbols (for + # instance folders on Windows) + cmd, name, rtype = ( + splitted[0], + ":".join(splitted[1:-1]), + splitted[-1], + ) + + if cmd == "PROBE": + continue + + if rtype not in _CLEANUP_FUNCS: + raise ValueError( + f"Cannot register {name} for automatic cleanup: " + f"unknown resource type ({rtype}). Resource type " + "should be one of the following: " + f"{list(_CLEANUP_FUNCS.keys())}" + ) + + if cmd == "REGISTER": + if name not in registry[rtype]: + registry[rtype][name] = 1 + else: + registry[rtype][name] += 1 + + if verbose: + util.debug( + "[ResourceTracker] incremented refcount of " + f"{rtype} {name} " + f"(current {registry[rtype][name]})" + ) + elif cmd == "UNREGISTER": + del registry[rtype][name] + if verbose: + util.debug( + f"[ResourceTracker] unregister {name} {rtype}: " + f"registry({len(registry)})" + ) + elif cmd == "MAYBE_UNLINK": + registry[rtype][name] -= 1 + if verbose: + util.debug( + "[ResourceTracker] decremented refcount of " + f"{rtype} {name} " + f"(current {registry[rtype][name]})" + ) + + if registry[rtype][name] == 0: + del registry[rtype][name] + try: + if verbose: + util.debug( + f"[ResourceTracker] unlink {name}" + ) + _CLEANUP_FUNCS[rtype](name) + except Exception as e: + warnings.warn( + f"resource_tracker: {name}: {e!r}" + ) + + else: + raise RuntimeError(f"unrecognized command {cmd!r}") + except BaseException: + try: + sys.excepthook(*sys.exc_info()) + except BaseException: + pass + finally: + # all processes have terminated; cleanup any remaining resources + def _unlink_resources(rtype_registry, rtype): + if rtype_registry: + try: + warnings.warn( + "resource_tracker: There appear to be " + f"{len(rtype_registry)} leaked {rtype} objects to " + "clean up at shutdown" + ) + except Exception: + pass + for name in rtype_registry: + # For some reason the process which created and registered this + # resource has failed to unregister it. Presumably it has + # died. We therefore clean it up. + try: + _CLEANUP_FUNCS[rtype](name) + if verbose: + util.debug(f"[ResourceTracker] unlink {name}") + except Exception as e: + warnings.warn(f"resource_tracker: {name}: {e!r}") + + for rtype, rtype_registry in registry.items(): + if rtype == "folder": + continue + else: + _unlink_resources(rtype_registry, rtype) + + # The default cleanup routine for folders deletes everything inside + # those folders recursively, which can include other resources tracked + # by the resource tracker). To limit the risk of the resource tracker + # attempting to delete twice a resource (once as part of a tracked + # folder, and once as a resource), we delete the folders after all + # other resource types. + if "folder" in registry: + _unlink_resources(registry["folder"], "folder") + + if verbose: + util.debug("resource tracker shut down") + + +# +# Start a program with only specified fds kept open +# + + +def spawnv_passfds(path, args, passfds): + passfds = sorted(passfds) + if sys.platform != "win32": + errpipe_read, errpipe_write = os.pipe() + try: + from .reduction import _mk_inheritable + from .fork_exec import fork_exec + + _pass = [_mk_inheritable(fd) for fd in passfds] + return fork_exec(args, _pass) + finally: + os.close(errpipe_read) + os.close(errpipe_write) + else: + cmd = " ".join(f'"{x}"' for x in args) + try: + _, ht, pid, _ = _winapi.CreateProcess( + path, cmd, None, None, True, 0, None, None, None + ) + _winapi.CloseHandle(ht) + except BaseException: + pass + return pid diff --git a/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/spawn.py b/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/spawn.py new file mode 100644 index 0000000000000000000000000000000000000000..d011c398035f4e013ef36615a56e3bf0d8519d07 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/spawn.py @@ -0,0 +1,250 @@ +############################################################################### +# Prepares and processes the data to setup the new process environment +# +# author: Thomas Moreau and Olivier Grisel +# +# adapted from multiprocessing/spawn.py (17/02/2017) +# * Improve logging data +# +import os +import sys +import runpy +import textwrap +import types +from multiprocessing import process, util + + +if sys.platform != "win32": + WINEXE = False + WINSERVICE = False +else: + import msvcrt + from multiprocessing.reduction import duplicate + + WINEXE = sys.platform == "win32" and getattr(sys, "frozen", False) + WINSERVICE = sys.executable.lower().endswith("pythonservice.exe") + +if WINSERVICE: + _python_exe = os.path.join(sys.exec_prefix, "python.exe") +else: + _python_exe = sys.executable + + +def get_executable(): + return _python_exe + + +def _check_not_importing_main(): + if getattr(process.current_process(), "_inheriting", False): + raise RuntimeError( + textwrap.dedent( + """\ + An attempt has been made to start a new process before the + current process has finished its bootstrapping phase. + + This probably means that you are not using fork to start your + child processes and you have forgotten to use the proper idiom + in the main module: + + if __name__ == '__main__': + freeze_support() + ... + + The "freeze_support()" line can be omitted if the program + is not going to be frozen to produce an executable.""" + ) + ) + + +def get_preparation_data(name, init_main_module=True): + """Return info about parent needed by child to unpickle process object.""" + _check_not_importing_main() + d = dict( + log_to_stderr=util._log_to_stderr, + authkey=bytes(process.current_process().authkey), + name=name, + sys_argv=sys.argv, + orig_dir=process.ORIGINAL_DIR, + dir=os.getcwd(), + ) + + # Send sys_path and make sure the current directory will not be changed + d["sys_path"] = [p if p != "" else process.ORIGINAL_DIR for p in sys.path] + + # Make sure to pass the information if the multiprocessing logger is active + if util._logger is not None: + d["log_level"] = util._logger.getEffectiveLevel() + if util._logger.handlers: + h = util._logger.handlers[0] + d["log_fmt"] = h.formatter._fmt + + # Tell the child how to communicate with the resource_tracker + from .resource_tracker import _resource_tracker + + _resource_tracker.ensure_running() + d["tracker_args"] = {"pid": _resource_tracker._pid} + if sys.platform == "win32": + d["tracker_args"]["fh"] = msvcrt.get_osfhandle(_resource_tracker._fd) + else: + d["tracker_args"]["fd"] = _resource_tracker._fd + + if sys.version_info >= (3, 8) and os.name == "posix": + # joblib/loky#242: allow loky processes to retrieve the resource + # tracker of their parent in case the child processes depickles + # shared_memory objects, that are still tracked by multiprocessing's + # resource_tracker by default. + # XXX: this is a workaround that may be error prone: in the future, it + # would be better to have loky subclass multiprocessing's shared_memory + # to force registration of shared_memory segments via loky's + # resource_tracker. + from multiprocessing.resource_tracker import ( + _resource_tracker as mp_resource_tracker, + ) + + # multiprocessing's resource_tracker must be running before loky + # process is created (othewise the child won't be able to use it if it + # is created later on) + mp_resource_tracker.ensure_running() + d["mp_tracker_args"] = { + "fd": mp_resource_tracker._fd, + "pid": mp_resource_tracker._pid, + } + + # Figure out whether to initialise main in the subprocess as a module + # or through direct execution (or to leave it alone entirely) + if init_main_module: + main_module = sys.modules["__main__"] + try: + main_mod_name = getattr(main_module.__spec__, "name", None) + except BaseException: + main_mod_name = None + if main_mod_name is not None: + d["init_main_from_name"] = main_mod_name + elif sys.platform != "win32" or (not WINEXE and not WINSERVICE): + main_path = getattr(main_module, "__file__", None) + if main_path is not None: + if ( + not os.path.isabs(main_path) + and process.ORIGINAL_DIR is not None + ): + main_path = os.path.join(process.ORIGINAL_DIR, main_path) + d["init_main_from_path"] = os.path.normpath(main_path) + + return d + + +# +# Prepare current process +# +old_main_modules = [] + + +def prepare(data, parent_sentinel=None): + """Try to get current process ready to unpickle process object.""" + if "name" in data: + process.current_process().name = data["name"] + + if "authkey" in data: + process.current_process().authkey = data["authkey"] + + if "log_to_stderr" in data and data["log_to_stderr"]: + util.log_to_stderr() + + if "log_level" in data: + util.get_logger().setLevel(data["log_level"]) + + if "log_fmt" in data: + import logging + + util.get_logger().handlers[0].setFormatter( + logging.Formatter(data["log_fmt"]) + ) + + if "sys_path" in data: + sys.path = data["sys_path"] + + if "sys_argv" in data: + sys.argv = data["sys_argv"] + + if "dir" in data: + os.chdir(data["dir"]) + + if "orig_dir" in data: + process.ORIGINAL_DIR = data["orig_dir"] + + if "mp_tracker_args" in data: + from multiprocessing.resource_tracker import ( + _resource_tracker as mp_resource_tracker, + ) + + mp_resource_tracker._fd = data["mp_tracker_args"]["fd"] + mp_resource_tracker._pid = data["mp_tracker_args"]["pid"] + if "tracker_args" in data: + from .resource_tracker import _resource_tracker + + _resource_tracker._pid = data["tracker_args"]["pid"] + if sys.platform == "win32": + handle = data["tracker_args"]["fh"] + handle = duplicate(handle, source_process=parent_sentinel) + _resource_tracker._fd = msvcrt.open_osfhandle(handle, os.O_RDONLY) + else: + _resource_tracker._fd = data["tracker_args"]["fd"] + + if "init_main_from_name" in data: + _fixup_main_from_name(data["init_main_from_name"]) + elif "init_main_from_path" in data: + _fixup_main_from_path(data["init_main_from_path"]) + + +# Multiprocessing module helpers to fix up the main module in +# spawned subprocesses +def _fixup_main_from_name(mod_name): + # __main__.py files for packages, directories, zip archives, etc, run + # their "main only" code unconditionally, so we don't even try to + # populate anything in __main__, nor do we make any changes to + # __main__ attributes + current_main = sys.modules["__main__"] + if mod_name == "__main__" or mod_name.endswith(".__main__"): + return + + # If this process was forked, __main__ may already be populated + if getattr(current_main.__spec__, "name", None) == mod_name: + return + + # Otherwise, __main__ may contain some non-main code where we need to + # support unpickling it properly. We rerun it as __mp_main__ and make + # the normal __main__ an alias to that + old_main_modules.append(current_main) + main_module = types.ModuleType("__mp_main__") + main_content = runpy.run_module( + mod_name, run_name="__mp_main__", alter_sys=True + ) + main_module.__dict__.update(main_content) + sys.modules["__main__"] = sys.modules["__mp_main__"] = main_module + + +def _fixup_main_from_path(main_path): + # If this process was forked, __main__ may already be populated + current_main = sys.modules["__main__"] + + # Unfortunately, the main ipython launch script historically had no + # "if __name__ == '__main__'" guard, so we work around that + # by treating it like a __main__.py file + # See https://github.com/ipython/ipython/issues/4698 + main_name = os.path.splitext(os.path.basename(main_path))[0] + if main_name == "ipython": + return + + # Otherwise, if __file__ already has the setting we expect, + # there's nothing more to do + if getattr(current_main, "__file__", None) == main_path: + return + + # If the parent process has sent a path through rather than a module + # name we assume it is an executable script that may contain + # non-main code that needs to be executed + old_main_modules.append(current_main) + main_module = types.ModuleType("__mp_main__") + main_content = runpy.run_path(main_path, run_name="__mp_main__") + main_module.__dict__.update(main_content) + sys.modules["__main__"] = sys.modules["__mp_main__"] = main_module diff --git a/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/synchronize.py b/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/synchronize.py new file mode 100644 index 0000000000000000000000000000000000000000..18db3e34db979240b4a4a943ea6931db3091321d --- /dev/null +++ b/parrot/lib/python3.10/site-packages/joblib/externals/loky/backend/synchronize.py @@ -0,0 +1,409 @@ +############################################################################### +# Synchronization primitives based on our SemLock implementation +# +# author: Thomas Moreau and Olivier Grisel +# +# adapted from multiprocessing/synchronize.py (17/02/2017) +# * Remove ctx argument for compatibility reason +# * Registers a cleanup function with the loky resource_tracker to remove the +# semaphore when the process dies instead. +# +# TODO: investigate which Python version is required to be able to use +# multiprocessing.resource_tracker and therefore multiprocessing.synchronize +# instead of a loky-specific fork. + +import os +import sys +import tempfile +import threading +import _multiprocessing +from time import time as _time +from multiprocessing import process, util +from multiprocessing.context import assert_spawning + +from . import resource_tracker + +__all__ = [ + "Lock", + "RLock", + "Semaphore", + "BoundedSemaphore", + "Condition", + "Event", +] +# Try to import the mp.synchronize module cleanly, if it fails +# raise ImportError for platforms lacking a working sem_open implementation. +# See issue 3770 +try: + from _multiprocessing import SemLock as _SemLock + from _multiprocessing import sem_unlink +except ImportError: + raise ImportError( + "This platform lacks a functioning sem_open" + " implementation, therefore, the required" + " synchronization primitives needed will not" + " function, see issue 3770." + ) + +# +# Constants +# + +RECURSIVE_MUTEX, SEMAPHORE = range(2) +SEM_VALUE_MAX = _multiprocessing.SemLock.SEM_VALUE_MAX + + +# +# Base class for semaphores and mutexes; wraps `_multiprocessing.SemLock` +# + + +class SemLock: + + _rand = tempfile._RandomNameSequence() + + def __init__(self, kind, value, maxvalue, name=None): + # unlink_now is only used on win32 or when we are using fork. + unlink_now = False + if name is None: + # Try to find an unused name for the SemLock instance. + for _ in range(100): + try: + self._semlock = _SemLock( + kind, value, maxvalue, SemLock._make_name(), unlink_now + ) + except FileExistsError: # pragma: no cover + pass + else: + break + else: # pragma: no cover + raise FileExistsError("cannot find name for semaphore") + else: + self._semlock = _SemLock(kind, value, maxvalue, name, unlink_now) + self.name = name + util.debug( + f"created semlock with handle {self._semlock.handle} and name " + f'"{self.name}"' + ) + + self._make_methods() + + def _after_fork(obj): + obj._semlock._after_fork() + + util.register_after_fork(self, _after_fork) + + # When the object is garbage collected or the + # process shuts down we unlink the semaphore name + resource_tracker.register(self._semlock.name, "semlock") + util.Finalize( + self, SemLock._cleanup, (self._semlock.name,), exitpriority=0 + ) + + @staticmethod + def _cleanup(name): + try: + sem_unlink(name) + except FileNotFoundError: + # Already unlinked, possibly by user code: ignore and make sure to + # unregister the semaphore from the resource tracker. + pass + finally: + resource_tracker.unregister(name, "semlock") + + def _make_methods(self): + self.acquire = self._semlock.acquire + self.release = self._semlock.release + + def __enter__(self): + return self._semlock.acquire() + + def __exit__(self, *args): + return self._semlock.release() + + def __getstate__(self): + assert_spawning(self) + sl = self._semlock + h = sl.handle + return (h, sl.kind, sl.maxvalue, sl.name) + + def __setstate__(self, state): + self._semlock = _SemLock._rebuild(*state) + util.debug( + f'recreated blocker with handle {state[0]!r} and name "{state[3]}"' + ) + self._make_methods() + + @staticmethod + def _make_name(): + # OSX does not support long names for semaphores + return f"/loky-{os.getpid()}-{next(SemLock._rand)}" + + +# +# Semaphore +# + + +class Semaphore(SemLock): + def __init__(self, value=1): + SemLock.__init__(self, SEMAPHORE, value, SEM_VALUE_MAX) + + def get_value(self): + if sys.platform == "darwin": + raise NotImplementedError("OSX does not implement sem_getvalue") + return self._semlock._get_value() + + def __repr__(self): + try: + value = self._semlock._get_value() + except Exception: + value = "unknown" + return f"<{self.__class__.__name__}(value={value})>" + + +# +# Bounded semaphore +# + + +class BoundedSemaphore(Semaphore): + def __init__(self, value=1): + SemLock.__init__(self, SEMAPHORE, value, value) + + def __repr__(self): + try: + value = self._semlock._get_value() + except Exception: + value = "unknown" + return ( + f"<{self.__class__.__name__}(value={value}, " + f"maxvalue={self._semlock.maxvalue})>" + ) + + +# +# Non-recursive lock +# + + +class Lock(SemLock): + def __init__(self): + super().__init__(SEMAPHORE, 1, 1) + + def __repr__(self): + try: + if self._semlock._is_mine(): + name = process.current_process().name + if threading.current_thread().name != "MainThread": + name = f"{name}|{threading.current_thread().name}" + elif self._semlock._get_value() == 1: + name = "None" + elif self._semlock._count() > 0: + name = "SomeOtherThread" + else: + name = "SomeOtherProcess" + except Exception: + name = "unknown" + return f"<{self.__class__.__name__}(owner={name})>" + + +# +# Recursive lock +# + + +class RLock(SemLock): + def __init__(self): + super().__init__(RECURSIVE_MUTEX, 1, 1) + + def __repr__(self): + try: + if self._semlock._is_mine(): + name = process.current_process().name + if threading.current_thread().name != "MainThread": + name = f"{name}|{threading.current_thread().name}" + count = self._semlock._count() + elif self._semlock._get_value() == 1: + name, count = "None", 0 + elif self._semlock._count() > 0: + name, count = "SomeOtherThread", "nonzero" + else: + name, count = "SomeOtherProcess", "nonzero" + except Exception: + name, count = "unknown", "unknown" + return f"<{self.__class__.__name__}({name}, {count})>" + + +# +# Condition variable +# + + +class Condition: + def __init__(self, lock=None): + self._lock = lock or RLock() + self._sleeping_count = Semaphore(0) + self._woken_count = Semaphore(0) + self._wait_semaphore = Semaphore(0) + self._make_methods() + + def __getstate__(self): + assert_spawning(self) + return ( + self._lock, + self._sleeping_count, + self._woken_count, + self._wait_semaphore, + ) + + def __setstate__(self, state): + ( + self._lock, + self._sleeping_count, + self._woken_count, + self._wait_semaphore, + ) = state + self._make_methods() + + def __enter__(self): + return self._lock.__enter__() + + def __exit__(self, *args): + return self._lock.__exit__(*args) + + def _make_methods(self): + self.acquire = self._lock.acquire + self.release = self._lock.release + + def __repr__(self): + try: + num_waiters = ( + self._sleeping_count._semlock._get_value() + - self._woken_count._semlock._get_value() + ) + except Exception: + num_waiters = "unknown" + return f"<{self.__class__.__name__}({self._lock}, {num_waiters})>" + + def wait(self, timeout=None): + assert ( + self._lock._semlock._is_mine() + ), "must acquire() condition before using wait()" + + # indicate that this thread is going to sleep + self._sleeping_count.release() + + # release lock + count = self._lock._semlock._count() + for _ in range(count): + self._lock.release() + + try: + # wait for notification or timeout + return self._wait_semaphore.acquire(True, timeout) + finally: + # indicate that this thread has woken + self._woken_count.release() + + # reacquire lock + for _ in range(count): + self._lock.acquire() + + def notify(self): + assert self._lock._semlock._is_mine(), "lock is not owned" + assert not self._wait_semaphore.acquire(False) + + # to take account of timeouts since last notify() we subtract + # woken_count from sleeping_count and rezero woken_count + while self._woken_count.acquire(False): + res = self._sleeping_count.acquire(False) + assert res + + if self._sleeping_count.acquire(False): # try grabbing a sleeper + self._wait_semaphore.release() # wake up one sleeper + self._woken_count.acquire() # wait for the sleeper to wake + + # rezero _wait_semaphore in case a timeout just happened + self._wait_semaphore.acquire(False) + + def notify_all(self): + assert self._lock._semlock._is_mine(), "lock is not owned" + assert not self._wait_semaphore.acquire(False) + + # to take account of timeouts since last notify*() we subtract + # woken_count from sleeping_count and rezero woken_count + while self._woken_count.acquire(False): + res = self._sleeping_count.acquire(False) + assert res + + sleepers = 0 + while self._sleeping_count.acquire(False): + self._wait_semaphore.release() # wake up one sleeper + sleepers += 1 + + if sleepers: + for _ in range(sleepers): + self._woken_count.acquire() # wait for a sleeper to wake + + # rezero wait_semaphore in case some timeouts just happened + while self._wait_semaphore.acquire(False): + pass + + def wait_for(self, predicate, timeout=None): + result = predicate() + if result: + return result + if timeout is not None: + endtime = _time() + timeout + else: + endtime = None + waittime = None + while not result: + if endtime is not None: + waittime = endtime - _time() + if waittime <= 0: + break + self.wait(waittime) + result = predicate() + return result + + +# +# Event +# + + +class Event: + def __init__(self): + self._cond = Condition(Lock()) + self._flag = Semaphore(0) + + def is_set(self): + with self._cond: + if self._flag.acquire(False): + self._flag.release() + return True + return False + + def set(self): + with self._cond: + self._flag.acquire(False) + self._flag.release() + self._cond.notify_all() + + def clear(self): + with self._cond: + self._flag.acquire(False) + + def wait(self, timeout=None): + with self._cond: + if self._flag.acquire(False): + self._flag.release() + else: + self._cond.wait(timeout) + + if self._flag.acquire(False): + self._flag.release() + return True + return False diff --git a/parrot/lib/python3.10/site-packages/nvidia_cuda_cupti_cu12-12.1.105.dist-info/License.txt b/parrot/lib/python3.10/site-packages/nvidia_cuda_cupti_cu12-12.1.105.dist-info/License.txt new file mode 100644 index 0000000000000000000000000000000000000000..b491c70e0aef319022ded661e111ddbd45b8a17f --- /dev/null +++ b/parrot/lib/python3.10/site-packages/nvidia_cuda_cupti_cu12-12.1.105.dist-info/License.txt @@ -0,0 +1,1568 @@ +End User License Agreement +-------------------------- + + +Preface +------- + +The Software License Agreement in Chapter 1 and the Supplement +in Chapter 2 contain license terms and conditions that govern +the use of NVIDIA software. 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CUDA Toolkit Supplement to Software License Agreement for +NVIDIA Software Development Kits +------------------------------------------------------------ + + +Release date: August 16, 2018 +----------------------------- + +The terms in this supplement govern your use of the NVIDIA +CUDA Toolkit SDK under the terms of your license agreement +(“Agreement”) as modified by this supplement. Capitalized +terms used but not defined below have the meaning assigned to +them in the Agreement. + +This supplement is an exhibit to the Agreement and is +incorporated as an integral part of the Agreement. In the +event of conflict between the terms in this supplement and the +terms in the Agreement, the terms in this supplement govern. + + +2.1. License Scope + +The SDK is licensed for you to develop applications only for +use in systems with NVIDIA GPUs. + + +2.2. Distribution + +The portions of the SDK that are distributable under the +Agreement are listed in Attachment A. + + +2.3. 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NVIDIA does not grant to you +under this Agreement any necessary patent or other rights with +respect to any audio and/or video encoders and decoders. + + +2.5. Licensing + +If the distribution terms in this Agreement are not suitable +for your organization, or for any questions regarding this +Agreement, please contact NVIDIA at +nvidia-compute-license-questions@nvidia.com. + + +2.6. Attachment A + +The following portions of the SDK are distributable under the +Agreement: + +Component + +CUDA Runtime + +Windows + +cudart.dll, cudart_static.lib, cudadevrt.lib + +Mac OSX + +libcudart.dylib, libcudart_static.a, libcudadevrt.a + +Linux + +libcudart.so, libcudart_static.a, libcudadevrt.a + +Android + +libcudart.so, libcudart_static.a, libcudadevrt.a + +Component + +CUDA FFT Library + +Windows + +cufft.dll, cufftw.dll, cufft.lib, cufftw.lib + +Mac OSX + +libcufft.dylib, libcufft_static.a, libcufftw.dylib, +libcufftw_static.a + +Linux + +libcufft.so, libcufft_static.a, libcufftw.so, +libcufftw_static.a + +Android + +libcufft.so, libcufft_static.a, libcufftw.so, +libcufftw_static.a + +Component + +CUDA BLAS Library + +Windows + +cublas.dll, cublasLt.dll + +Mac OSX + +libcublas.dylib, libcublasLt.dylib, libcublas_static.a, +libcublasLt_static.a + +Linux + +libcublas.so, libcublasLt.so, libcublas_static.a, +libcublasLt_static.a + +Android + +libcublas.so, libcublasLt.so, libcublas_static.a, +libcublasLt_static.a + +Component + +NVIDIA "Drop-in" BLAS Library + +Windows + +nvblas.dll + +Mac OSX + +libnvblas.dylib + +Linux + +libnvblas.so + +Component + +CUDA Sparse Matrix Library + +Windows + +cusparse.dll, cusparse.lib + +Mac OSX + +libcusparse.dylib, libcusparse_static.a + +Linux + +libcusparse.so, libcusparse_static.a + +Android + +libcusparse.so, libcusparse_static.a + +Component + +CUDA Linear Solver Library + +Windows + +cusolver.dll, cusolver.lib + +Mac OSX + +libcusolver.dylib, libcusolver_static.a + +Linux + +libcusolver.so, libcusolver_static.a + +Android + +libcusolver.so, libcusolver_static.a + +Component + +CUDA Random Number Generation Library + +Windows + +curand.dll, curand.lib + +Mac OSX + +libcurand.dylib, libcurand_static.a + +Linux + +libcurand.so, libcurand_static.a + +Android + +libcurand.so, libcurand_static.a + +Component + +CUDA Accelerated Graph Library + +Component + +NVIDIA Performance Primitives Library + +Windows + +nppc.dll, nppc.lib, nppial.dll, nppial.lib, nppicc.dll, +nppicc.lib, nppicom.dll, nppicom.lib, nppidei.dll, +nppidei.lib, nppif.dll, nppif.lib, nppig.dll, nppig.lib, +nppim.dll, nppim.lib, nppist.dll, nppist.lib, nppisu.dll, +nppisu.lib, nppitc.dll, nppitc.lib, npps.dll, npps.lib + +Mac OSX + +libnppc.dylib, libnppc_static.a, libnppial.dylib, +libnppial_static.a, libnppicc.dylib, libnppicc_static.a, +libnppicom.dylib, libnppicom_static.a, libnppidei.dylib, +libnppidei_static.a, libnppif.dylib, libnppif_static.a, +libnppig.dylib, libnppig_static.a, libnppim.dylib, +libnppisu_static.a, libnppitc.dylib, libnppitc_static.a, +libnpps.dylib, libnpps_static.a + +Linux + +libnppc.so, libnppc_static.a, libnppial.so, +libnppial_static.a, libnppicc.so, libnppicc_static.a, +libnppicom.so, libnppicom_static.a, libnppidei.so, +libnppidei_static.a, libnppif.so, libnppif_static.a +libnppig.so, libnppig_static.a, libnppim.so, +libnppim_static.a, libnppist.so, libnppist_static.a, +libnppisu.so, libnppisu_static.a, libnppitc.so +libnppitc_static.a, libnpps.so, libnpps_static.a + +Android + +libnppc.so, libnppc_static.a, libnppial.so, +libnppial_static.a, libnppicc.so, libnppicc_static.a, +libnppicom.so, libnppicom_static.a, libnppidei.so, +libnppidei_static.a, libnppif.so, libnppif_static.a +libnppig.so, libnppig_static.a, libnppim.so, +libnppim_static.a, libnppist.so, libnppist_static.a, +libnppisu.so, libnppisu_static.a, libnppitc.so +libnppitc_static.a, libnpps.so, libnpps_static.a + +Component + +NVIDIA JPEG Library + +Linux + +libnvjpeg.so, libnvjpeg_static.a + +Component + +Internal common library required for statically linking to +cuBLAS, cuSPARSE, cuFFT, cuRAND, nvJPEG and NPP + +Mac OSX + +libculibos.a + +Linux + +libculibos.a + +Component + +NVIDIA Runtime Compilation Library and Header + +All + +nvrtc.h + +Windows + +nvrtc.dll, nvrtc-builtins.dll + +Mac OSX + +libnvrtc.dylib, libnvrtc-builtins.dylib + +Linux + +libnvrtc.so, libnvrtc-builtins.so + +Component + +NVIDIA Optimizing Compiler Library + +Windows + +nvvm.dll + +Mac OSX + +libnvvm.dylib + +Linux + +libnvvm.so + +Component + +NVIDIA Common Device Math Functions Library + +Windows + +libdevice.10.bc + +Mac OSX + +libdevice.10.bc + +Linux + +libdevice.10.bc + +Component + +CUDA Occupancy Calculation Header Library + +All + +cuda_occupancy.h + +Component + +CUDA Half Precision Headers + +All + +cuda_fp16.h, cuda_fp16.hpp + +Component + +CUDA Profiling Tools Interface (CUPTI) Library + +Windows + +cupti.dll + +Mac OSX + +libcupti.dylib + +Linux + +libcupti.so + +Component + +NVIDIA Tools Extension Library + +Windows + +nvToolsExt.dll, nvToolsExt.lib + +Mac OSX + +libnvToolsExt.dylib + +Linux + +libnvToolsExt.so + +Component + +NVIDIA CUDA Driver Libraries + +Linux + +libcuda.so, libnvidia-fatbinaryloader.so, +libnvidia-ptxjitcompiler.so + +The NVIDIA CUDA Driver Libraries are only distributable in +applications that meet this criteria: + + 1. The application was developed starting from a NVIDIA CUDA + container obtained from Docker Hub or the NVIDIA GPU + Cloud, and + + 2. The resulting application is packaged as a Docker + container and distributed to users on Docker Hub or the + NVIDIA GPU Cloud only. + + +2.7. Attachment B + + +Additional Licensing Obligations + +The following third party components included in the SOFTWARE +are licensed to Licensee pursuant to the following terms and +conditions: + + 1. Licensee's use of the GDB third party component is + subject to the terms and conditions of GNU GPL v3: + + This product includes copyrighted third-party software licensed + under the terms of the GNU General Public License v3 ("GPL v3"). + All third-party software packages are copyright by their respective + authors. GPL v3 terms and conditions are hereby incorporated into + the Agreement by this reference: http://www.gnu.org/licenses/gpl.txt + + Consistent with these licensing requirements, the software + listed below is provided under the terms of the specified + open source software licenses. To obtain source code for + software provided under licenses that require + redistribution of source code, including the GNU General + Public License (GPL) and GNU Lesser General Public License + (LGPL), contact oss-requests@nvidia.com. This offer is + valid for a period of three (3) years from the date of the + distribution of this product by NVIDIA CORPORATION. + + Component License + CUDA-GDB GPL v3 + + 2. Licensee represents and warrants that any and all third + party licensing and/or royalty payment obligations in + connection with Licensee's use of the H.264 video codecs + are solely the responsibility of Licensee. + + 3. Licensee's use of the Thrust library is subject to the + terms and conditions of the Apache License Version 2.0. + All third-party software packages are copyright by their + respective authors. Apache License Version 2.0 terms and + conditions are hereby incorporated into the Agreement by + this reference. + http://www.apache.org/licenses/LICENSE-2.0.html + + In addition, Licensee acknowledges the following notice: + Thrust includes source code from the Boost Iterator, + Tuple, System, and Random Number libraries. + + Boost Software License - Version 1.0 - August 17th, 2003 + . . . . + + Permission is hereby granted, free of charge, to any person or + organization obtaining a copy of the software and accompanying + documentation covered by this license (the "Software") to use, + reproduce, display, distribute, execute, and transmit the Software, + and to prepare derivative works of the Software, and to permit + third-parties to whom the Software is furnished to do so, all + subject to the following: + + The copyright notices in the Software and this entire statement, + including the above license grant, this restriction and the following + disclaimer, must be included in all copies of the Software, in whole + or in part, and all derivative works of the Software, unless such + copies or derivative works are solely in the form of machine-executable + object code generated by a source language processor. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, + EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF + MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE AND + NON-INFRINGEMENT. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR + ANYONE DISTRIBUTING THE SOFTWARE BE LIABLE FOR ANY DAMAGES OR + OTHER LIABILITY, WHETHER IN CONTRACT, TORT OR OTHERWISE, ARISING + FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR + OTHER DEALINGS IN THE SOFTWARE. + + 4. Licensee's use of the LLVM third party component is + subject to the following terms and conditions: + + ====================================================== + LLVM Release License + ====================================================== + University of Illinois/NCSA + Open Source License + + Copyright (c) 2003-2010 University of Illinois at Urbana-Champaign. + All rights reserved. + + Developed by: + + LLVM Team + + University of Illinois at Urbana-Champaign + + http://llvm.org + + Permission is hereby granted, free of charge, to any person obtaining a copy + of this software and associated documentation files (the "Software"), to + deal with the Software without restriction, including without limitation the + rights to use, copy, modify, merge, publish, distribute, sublicense, and/or + sell copies of the Software, and to permit persons to whom the Software is + furnished to do so, subject to the following conditions: + + * Redistributions of source code must retain the above copyright notice, + this list of conditions and the following disclaimers. + + * Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimers in the + documentation and/or other materials provided with the distribution. + + * Neither the names of the LLVM Team, University of Illinois at Urbana- + Champaign, nor the names of its contributors may be used to endorse or + promote products derived from this Software without specific prior + written permission. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL + THE CONTRIBUTORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR + OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, + ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER + DEALINGS WITH THE SOFTWARE. + + 5. Licensee's use (e.g. nvprof) of the PCRE third party + component is subject to the following terms and + conditions: + + ------------ + PCRE LICENCE + ------------ + PCRE is a library of functions to support regular expressions whose syntax + and semantics are as close as possible to those of the Perl 5 language. + Release 8 of PCRE is distributed under the terms of the "BSD" licence, as + specified below. The documentation for PCRE, supplied in the "doc" + directory, is distributed under the same terms as the software itself. The + basic library functions are written in C and are freestanding. Also + included in the distribution is a set of C++ wrapper functions, and a just- + in-time compiler that can be used to optimize pattern matching. These are + both optional features that can be omitted when the library is built. + + THE BASIC LIBRARY FUNCTIONS + --------------------------- + Written by: Philip Hazel + Email local part: ph10 + Email domain: cam.ac.uk + University of Cambridge Computing Service, + Cambridge, England. + Copyright (c) 1997-2012 University of Cambridge + All rights reserved. + + PCRE JUST-IN-TIME COMPILATION SUPPORT + ------------------------------------- + Written by: Zoltan Herczeg + Email local part: hzmester + Emain domain: freemail.hu + Copyright(c) 2010-2012 Zoltan Herczeg + All rights reserved. + + STACK-LESS JUST-IN-TIME COMPILER + -------------------------------- + Written by: Zoltan Herczeg + Email local part: hzmester + Emain domain: freemail.hu + Copyright(c) 2009-2012 Zoltan Herczeg + All rights reserved. + + THE C++ WRAPPER FUNCTIONS + ------------------------- + Contributed by: Google Inc. + Copyright (c) 2007-2012, Google Inc. + All rights reserved. + + THE "BSD" LICENCE + ----------------- + Redistribution and use in source and binary forms, with or without + modification, are permitted provided that the following conditions are met: + + * Redistributions of source code must retain the above copyright notice, + this list of conditions and the following disclaimer. + + * Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + + * Neither the name of the University of Cambridge nor the name of Google + Inc. nor the names of their contributors may be used to endorse or + promote products derived from this software without specific prior + written permission. + + THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" + AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE + IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE + ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE + LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR + CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF + SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS + INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN + CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) + ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE + POSSIBILITY OF SUCH DAMAGE. + + 6. Some of the cuBLAS library routines were written by or + derived from code written by Vasily Volkov and are subject + to the Modified Berkeley Software Distribution License as + follows: + + Copyright (c) 2007-2009, Regents of the University of California + + All rights reserved. + + Redistribution and use in source and binary forms, with or without + modification, are permitted provided that the following conditions are + met: + * Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + * Redistributions in binary form must reproduce the above + copyright notice, this list of conditions and the following + disclaimer in the documentation and/or other materials provided + with the distribution. + * Neither the name of the University of California, Berkeley nor + the names of its contributors may be used to endorse or promote + products derived from this software without specific prior + written permission. + + THIS SOFTWARE IS PROVIDED BY THE AUTHOR "AS IS" AND ANY EXPRESS OR + IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED + WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE + DISCLAIMED. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, + INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES + (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR + SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) + HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, + STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING + IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE + POSSIBILITY OF SUCH DAMAGE. + + 7. Some of the cuBLAS library routines were written by or + derived from code written by Davide Barbieri and are + subject to the Modified Berkeley Software Distribution + License as follows: + + Copyright (c) 2008-2009 Davide Barbieri @ University of Rome Tor Vergata. + + All rights reserved. + + Redistribution and use in source and binary forms, with or without + modification, are permitted provided that the following conditions are + met: + * Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + * Redistributions in binary form must reproduce the above + copyright notice, this list of conditions and the following + disclaimer in the documentation and/or other materials provided + with the distribution. + * The name of the author may not be used to endorse or promote + products derived from this software without specific prior + written permission. + + THIS SOFTWARE IS PROVIDED BY THE AUTHOR "AS IS" AND ANY EXPRESS OR + IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED + WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE + DISCLAIMED. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, + INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES + (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR + SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) + HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, + STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING + IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE + POSSIBILITY OF SUCH DAMAGE. + + 8. Some of the cuBLAS library routines were derived from + code developed by the University of Tennessee and are + subject to the Modified Berkeley Software Distribution + License as follows: + + Copyright (c) 2010 The University of Tennessee. + + All rights reserved. + + Redistribution and use in source and binary forms, with or without + modification, are permitted provided that the following conditions are + met: + * Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + * Redistributions in binary form must reproduce the above + copyright notice, this list of conditions and the following + disclaimer listed in this license in the documentation and/or + other materials provided with the distribution. + * Neither the name of the copyright holders nor the names of its + contributors may be used to endorse or promote products derived + from this software without specific prior written permission. + + THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS + "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT + LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR + A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT + OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, + SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT + LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, + DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY + THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT + (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE + OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + + 9. Some of the cuBLAS library routines were written by or + derived from code written by Jonathan Hogg and are subject + to the Modified Berkeley Software Distribution License as + follows: + + Copyright (c) 2012, The Science and Technology Facilities Council (STFC). + + All rights reserved. + + Redistribution and use in source and binary forms, with or without + modification, are permitted provided that the following conditions are + met: + * Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + * Redistributions in binary form must reproduce the above + copyright notice, this list of conditions and the following + disclaimer in the documentation and/or other materials provided + with the distribution. + * Neither the name of the STFC nor the names of its contributors + may be used to endorse or promote products derived from this + software without specific prior written permission. + + THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS + "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT + LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR + A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE STFC BE + LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR + CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF + SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR + BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, + WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE + OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN + IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + + 10. Some of the cuBLAS library routines were written by or + derived from code written by Ahmad M. Abdelfattah, David + Keyes, and Hatem Ltaief, and are subject to the Apache + License, Version 2.0, as follows: + + -- (C) Copyright 2013 King Abdullah University of Science and Technology + Authors: + Ahmad Abdelfattah (ahmad.ahmad@kaust.edu.sa) + David Keyes (david.keyes@kaust.edu.sa) + Hatem Ltaief (hatem.ltaief@kaust.edu.sa) + + Redistribution and use in source and binary forms, with or without + modification, are permitted provided that the following conditions + are met: + + * Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + * Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + * Neither the name of the King Abdullah University of Science and + Technology nor the names of its contributors may be used to endorse + or promote products derived from this software without specific prior + written permission. + + THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS + ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT + LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR + A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT + HOLDERS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, + SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT + LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, + DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY + THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT + (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE + OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE + + 11. Some of the cuSPARSE library routines were written by or + derived from code written by Li-Wen Chang and are subject + to the NCSA Open Source License as follows: + + Copyright (c) 2012, University of Illinois. + + All rights reserved. + + Developed by: IMPACT Group, University of Illinois, http://impact.crhc.illinois.edu + + Permission is hereby granted, free of charge, to any person obtaining + a copy of this software and associated documentation files (the + "Software"), to deal with the Software without restriction, including + without limitation the rights to use, copy, modify, merge, publish, + distribute, sublicense, and/or sell copies of the Software, and to + permit persons to whom the Software is furnished to do so, subject to + the following conditions: + * Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + * Redistributions in binary form must reproduce the above + copyright notice, this list of conditions and the following + disclaimers in the documentation and/or other materials provided + with the distribution. + * Neither the names of IMPACT Group, University of Illinois, nor + the names of its contributors may be used to endorse or promote + products derived from this Software without specific prior + written permission. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, + EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF + MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND + NONINFRINGEMENT. IN NO EVENT SHALL THE CONTRIBUTORS OR COPYRIGHT + HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER + IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR + IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS WITH THE + SOFTWARE. + + 12. Some of the cuRAND library routines were written by or + derived from code written by Mutsuo Saito and Makoto + Matsumoto and are subject to the following license: + + Copyright (c) 2009, 2010 Mutsuo Saito, Makoto Matsumoto and Hiroshima + University. All rights reserved. + + Copyright (c) 2011 Mutsuo Saito, Makoto Matsumoto, Hiroshima + University and University of Tokyo. All rights reserved. + + Redistribution and use in source and binary forms, with or without + modification, are permitted provided that the following conditions are + met: + * Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + * Redistributions in binary form must reproduce the above + copyright notice, this list of conditions and the following + disclaimer in the documentation and/or other materials provided + with the distribution. + * Neither the name of the Hiroshima University nor the names of + its contributors may be used to endorse or promote products + derived from this software without specific prior written + permission. + + THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS + "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT + LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR + A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT + OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, + SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT + LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, + DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY + THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT + (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE + OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + + 13. Some of the cuRAND library routines were derived from + code developed by D. E. Shaw Research and are subject to + the following license: + + Copyright 2010-2011, D. E. Shaw Research. + + All rights reserved. + + Redistribution and use in source and binary forms, with or without + modification, are permitted provided that the following conditions are + met: + * Redistributions of source code must retain the above copyright + notice, this list of conditions, and the following disclaimer. + * Redistributions in binary form must reproduce the above + copyright notice, this list of conditions, and the following + disclaimer in the documentation and/or other materials provided + with the distribution. + * Neither the name of D. E. Shaw Research nor the names of its + contributors may be used to endorse or promote products derived + from this software without specific prior written permission. + + THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS + "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT + LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR + A PARTICULAR PURPOSE ARE DISCLAIMED. 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Some of the cuBLAS library routines uses code from + OpenAI, which is subject to the following license: + + License URL + https://github.com/openai/openai-gemm/blob/master/LICENSE + + License Text + The MIT License + + Copyright (c) 2016 OpenAI (http://openai.com), 2016 Google Inc. + + Permission is hereby granted, free of charge, to any person obtaining a copy + of this software and associated documentation files (the "Software"), to deal + in the Software without restriction, including without limitation the rights + to use, copy, modify, merge, publish, distribute, sublicense, and/or sell + copies of the Software, and to permit persons to whom the Software is + furnished to do so, subject to the following conditions: + + The above copyright notice and this permission notice shall be included in + all copies or substantial portions of the Software. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR + IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, + FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. 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The DX12-CUDA sample uses the d3dx12.h header, which is + subject to the MIT license . + +----------------- diff --git a/parrot/lib/python3.10/site-packages/nvidia_cuda_cupti_cu12-12.1.105.dist-info/RECORD b/parrot/lib/python3.10/site-packages/nvidia_cuda_cupti_cu12-12.1.105.dist-info/RECORD new file mode 100644 index 0000000000000000000000000000000000000000..c4a40ff8923f5c6872f0f33f1f9c665cfc9a8536 --- /dev/null +++ b/parrot/lib/python3.10/site-packages/nvidia_cuda_cupti_cu12-12.1.105.dist-info/RECORD @@ -0,0 +1,51 @@ +nvidia/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +nvidia/__pycache__/__init__.cpython-310.pyc,, +nvidia/cuda_cupti/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0 +nvidia/cuda_cupti/__pycache__/__init__.cpython-310.pyc,, +nvidia/cuda_cupti/include/Openacc/cupti_openacc.h,sha256=Z0OM5e_hbd3cxdXyn3SCHqBBQawLg4QORnlm57Cr2-M,3513 +nvidia/cuda_cupti/include/Openmp/cupti_openmp.h,sha256=E1WNmeb_7HaUSmBegtUNe4IV1i7pXeNxgzIlyKn1zrM,3491 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diff --git a/parrot/lib/python3.10/site-packages/nvidia_cuda_cupti_cu12-12.1.105.dist-info/WHEEL b/parrot/lib/python3.10/site-packages/nvidia_cuda_cupti_cu12-12.1.105.dist-info/WHEEL new file mode 100644 index 0000000000000000000000000000000000000000..06e355fe0e3ed7077903f119ae6928a17da8eb6f --- /dev/null +++ b/parrot/lib/python3.10/site-packages/nvidia_cuda_cupti_cu12-12.1.105.dist-info/WHEEL @@ -0,0 +1,5 @@ +Wheel-Version: 1.0 +Generator: bdist_wheel (0.37.1) +Root-Is-Purelib: true +Tag: py3-none-manylinux1_x86_64 + diff --git a/parrot/lib/python3.10/site-packages/nvidia_cuda_cupti_cu12-12.1.105.dist-info/top_level.txt b/parrot/lib/python3.10/site-packages/nvidia_cuda_cupti_cu12-12.1.105.dist-info/top_level.txt new file mode 100644 index 0000000000000000000000000000000000000000..862f7abf232cdfbb928609856247292e81c9decb --- /dev/null +++ b/parrot/lib/python3.10/site-packages/nvidia_cuda_cupti_cu12-12.1.105.dist-info/top_level.txt @@ -0,0 +1 @@ +nvidia diff --git a/parrot/lib/python3.10/site-packages/tests/slow/__init__.py b/parrot/lib/python3.10/site-packages/tests/slow/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..adfc257a24f038a7177291b0fba3710bbdacc3af --- /dev/null +++ b/parrot/lib/python3.10/site-packages/tests/slow/__init__.py @@ -0,0 +1,14 @@ +# Copyright 2024 The HuggingFace Inc. team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + diff --git a/parrot/lib/python3.10/site-packages/tests/slow/test_dpo_slow.py b/parrot/lib/python3.10/site-packages/tests/slow/test_dpo_slow.py new file mode 100644 index 0000000000000000000000000000000000000000..2856d22cfb50cf05ddd5f22b5a521174973cefae --- /dev/null +++ b/parrot/lib/python3.10/site-packages/tests/slow/test_dpo_slow.py @@ -0,0 +1,224 @@ +# Copyright 2024 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +import gc +import itertools +import tempfile +import unittest + +import torch +from accelerate.utils.memory import release_memory +from datasets import load_dataset +from parameterized import parameterized +from transformers import AutoModelForCausalLM, AutoTokenizer, BitsAndBytesConfig +from transformers.testing_utils import require_bitsandbytes, require_peft, require_torch_accelerator, torch_device +from transformers.utils import is_peft_available + +from trl import DPOConfig, DPOTrainer + +from .testing_constants import DPO_LOSS_TYPES, DPO_PRECOMPUTE_LOGITS, GRADIENT_CHECKPOINTING_KWARGS, MODELS_TO_TEST + + +if is_peft_available(): + from peft import LoraConfig, PeftModel + + +@require_torch_accelerator +class DPOTrainerSlowTester(unittest.TestCase): + def setUp(self): + self.dataset = load_dataset("trl-internal-testing/mlabonne-chatml-dpo-pairs-copy", split="train[:10%]") + self.peft_config = LoraConfig( + lora_alpha=16, + lora_dropout=0.1, + r=8, + bias="none", + task_type="CAUSAL_LM", + ) + self.max_length = 128 + + def tearDown(self): + gc.collect() + if torch_device == "cpu": + torch.cuda.empty_cache() + elif torch_device == "xpu": + torch.xpu.empty_cache() + gc.collect() + + @parameterized.expand(list(itertools.product(MODELS_TO_TEST, DPO_LOSS_TYPES, DPO_PRECOMPUTE_LOGITS))) + def test_dpo_bare_model(self, model_id, loss_type, pre_compute_logits): + """ + A test that tests the simple usage of `DPOTrainer` using a bare model in full precision. + """ + model = AutoModelForCausalLM.from_pretrained(model_id) + tokenizer = AutoTokenizer.from_pretrained(model_id) + + with tempfile.TemporaryDirectory() as tmp_dir: + training_args = DPOConfig( + output_dir=tmp_dir, + per_device_train_batch_size=2, + max_steps=2, + remove_unused_columns=False, + gradient_accumulation_steps=2, + learning_rate=9e-1, + eval_strategy="steps", + fp16=True, + logging_strategy="no", + report_to="none", + beta=0.1, + loss_type=loss_type, + precompute_ref_log_probs=pre_compute_logits, + max_length=self.max_length, + ) + + # dpo train lora model + trainer = DPOTrainer( + model=model, + ref_model=None, + args=training_args, + tokenizer=tokenizer, + train_dataset=self.dataset, + eval_dataset=self.dataset, + ) + + # train the model + trainer.train() + + # save trained model or adapter + trainer.save_model() + + release_memory(model, trainer) + + @parameterized.expand( + list( + itertools.product( + MODELS_TO_TEST, + DPO_LOSS_TYPES, + DPO_PRECOMPUTE_LOGITS, + GRADIENT_CHECKPOINTING_KWARGS, + ) + ) + ) + @require_peft + def test_dpo_peft_model(self, model_id, loss_type, pre_compute_logits, gradient_checkpointing_kwargs): + """ + A test that tests the simple usage of `DPOTrainer` using a peft model in full precision + different scenarios of gradient checkpointing. + """ + model = AutoModelForCausalLM.from_pretrained(model_id) + tokenizer = AutoTokenizer.from_pretrained(model_id) + + with tempfile.TemporaryDirectory() as tmp_dir: + training_args = DPOConfig( + output_dir=tmp_dir, + per_device_train_batch_size=2, + max_steps=2, + remove_unused_columns=False, + gradient_accumulation_steps=2, + learning_rate=9e-1, + eval_strategy="steps", + fp16=True, + logging_strategy="no", + report_to="none", + gradient_checkpointing=True, + gradient_checkpointing_kwargs=gradient_checkpointing_kwargs, + generate_during_eval=False, + loss_type=loss_type, + precompute_ref_log_probs=pre_compute_logits, + beta=0.1, + max_length=self.max_length, + ) + + # dpo train lora model + trainer = DPOTrainer( + model=model, + ref_model=None, + args=training_args, + tokenizer=tokenizer, + train_dataset=self.dataset, + eval_dataset=self.dataset, + peft_config=self.peft_config, + ) + + assert isinstance(trainer.model, PeftModel) + assert trainer.ref_model is None + + # train the model + trainer.train() + + # save trained model or adapter + trainer.save_model() + + release_memory(model, trainer) + + @parameterized.expand( + list( + itertools.product( + MODELS_TO_TEST, + DPO_LOSS_TYPES, + DPO_PRECOMPUTE_LOGITS, + GRADIENT_CHECKPOINTING_KWARGS, + ) + ) + ) + @require_bitsandbytes + @require_peft + def test_dpo_peft_model_qlora(self, model_id, loss_type, pre_compute_logits, gradient_checkpointing_kwargs): + """ + A test that tests the simple usage of `DPOTrainer` using QLoRA + different scenarios of gradient checkpointing. + """ + quantization_config = BitsAndBytesConfig(load_in_4bit=True, bnb_4bit_compute_dtype=torch.float16) + + model = AutoModelForCausalLM.from_pretrained(model_id, quantization_config=quantization_config) + tokenizer = AutoTokenizer.from_pretrained(model_id) + + with tempfile.TemporaryDirectory() as tmp_dir: + training_args = DPOConfig( + output_dir=tmp_dir, + per_device_train_batch_size=2, + max_steps=2, + remove_unused_columns=False, + gradient_accumulation_steps=2, + learning_rate=9e-1, + eval_strategy="steps", + fp16=True, + logging_strategy="no", + report_to="none", + gradient_checkpointing=True, + gradient_checkpointing_kwargs=gradient_checkpointing_kwargs, + beta=0.1, + generate_during_eval=False, + loss_type=loss_type, + precompute_ref_log_probs=pre_compute_logits, + max_length=self.max_length, + ) + + # dpo train lora model + trainer = DPOTrainer( + model=model, + ref_model=None, + args=training_args, + tokenizer=tokenizer, + train_dataset=self.dataset, + eval_dataset=self.dataset, + peft_config=self.peft_config, + ) + + assert isinstance(trainer.model, PeftModel) + assert trainer.ref_model is None + + # train the model + trainer.train() + + # save trained model or adapter + trainer.save_model() + + release_memory(model, trainer) diff --git a/parrot/lib/python3.10/site-packages/tests/slow/testing_constants.py b/parrot/lib/python3.10/site-packages/tests/slow/testing_constants.py new file mode 100644 index 0000000000000000000000000000000000000000..40051ce1cc448f5bf54d2c27634cdd83f877a19c --- /dev/null +++ b/parrot/lib/python3.10/site-packages/tests/slow/testing_constants.py @@ -0,0 +1,27 @@ +# Copyright 2024 The HuggingFace Team. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +# TODO: push them under trl-org +MODELS_TO_TEST = [ + "trl-internal-testing/tiny-random-LlamaForCausalLM", + "HuggingFaceM4/tiny-random-MistralForCausalLM", +] + +# We could have also not declared these variables but let's be verbose +PACKING_OPTIONS = [True, False] +GRADIENT_CHECKPOINTING_KWARGS = [None, {"use_reentrant": False}, {"use_reentrant": True}] +DEVICE_MAP_OPTIONS = [{"": 0}, "auto"] + +DPO_LOSS_TYPES = ["sigmoid", "ipo"] +DPO_PRECOMPUTE_LOGITS = [True, False]