# SOME DESCRIPTIVE TITLE.
# Copyright (C) 1999-2020, The Alibaba Group Holding Ltd.
# This file is distributed under the same license as the mars package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2020.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: mars 0.5.0a2\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2020-06-16 16:57+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: LANGUAGE <LL@li.org>\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Generated-By: Babel 2.7.0\n"

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:2
msgid "mars.tensor.random.RandomState"
msgstr ""

#: mars.tensor.random.RandomState.__init__:1 of
msgid "Initialize self.  See help(type(self)) for accurate signature."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:13
msgid "Methods"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`__init__ <mars.tensor.random.RandomState.__init__>`\\ "
"\\(\\[seed\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Initialize self."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`beta <mars.tensor.random.RandomState.beta>`\\ \\(a\\, b\\[\\, "
"size\\, chunk\\_size\\, gpu\\, dtype\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from a Beta distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`binomial <mars.tensor.random.RandomState.binomial>`\\ \\(n\\, "
"p\\[\\, size\\, chunk\\_size\\, gpu\\, dtype\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from a binomial distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ":obj:`bytes <mars.tensor.random.RandomState.bytes>`\\ \\(length\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Return random bytes."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`chisquare <mars.tensor.random.RandomState.chisquare>`\\ \\(df\\[\\,"
" size\\, chunk\\_size\\, gpu\\, dtype\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from a chi-square distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`choice <mars.tensor.random.RandomState.choice>`\\ \\(a\\[\\, "
"size\\, replace\\, p\\, chunk\\_size\\, gpu\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Generates a random sample from a given 1-D array"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`dirichlet <mars.tensor.random.RandomState.dirichlet>`\\ "
"\\(alpha\\[\\, size\\, chunk\\_size\\, gpu\\, dtype\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from the Dirichlet distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`exponential <mars.tensor.random.RandomState.exponential>`\\ "
"\\(\\[scale\\, size\\, chunk\\_size\\, gpu\\, ...\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from an exponential distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`f <mars.tensor.random.RandomState.f>`\\ \\(dfnum\\, dfden\\[\\, "
"size\\, chunk\\_size\\, gpu\\, dtype\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from an F distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`from_numpy <mars.tensor.random.RandomState.from_numpy>`\\ "
"\\(np\\_random\\_state\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`gamma <mars.tensor.random.RandomState.gamma>`\\ \\(shape\\[\\, "
"scale\\, size\\, chunk\\_size\\, gpu\\, ...\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from a Gamma distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`geometric <mars.tensor.random.RandomState.geometric>`\\ \\(p\\[\\, "
"size\\, chunk\\_size\\, gpu\\, dtype\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from the geometric distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`gumbel <mars.tensor.random.RandomState.gumbel>`\\ \\(\\[loc\\, "
"scale\\, size\\, chunk\\_size\\, gpu\\, ...\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from a Gumbel distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`hypergeometric <mars.tensor.random.RandomState.hypergeometric>`\\ "
"\\(ngood\\, nbad\\, nsample\\[\\, size\\, ...\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from a Hypergeometric distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`laplace <mars.tensor.random.RandomState.laplace>`\\ \\(\\[loc\\, "
"scale\\, size\\, chunk\\_size\\, gpu\\, ...\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
"Draw samples from the Laplace or double exponential distribution with "
"specified location (or mean) and scale (decay)."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`logistic <mars.tensor.random.RandomState.logistic>`\\ \\(\\[loc\\, "
"scale\\, size\\, chunk\\_size\\, ...\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from a logistic distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`lognormal <mars.tensor.random.RandomState.lognormal>`\\ "
"\\(\\[mean\\, sigma\\, size\\, chunk\\_size\\, ...\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from a log-normal distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`logseries <mars.tensor.random.RandomState.logseries>`\\ \\(p\\[\\, "
"size\\, chunk\\_size\\, gpu\\, dtype\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from a logarithmic series distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`multinomial <mars.tensor.random.RandomState.multinomial>`\\ \\(n\\,"
" pvals\\[\\, size\\, chunk\\_size\\, ...\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from a multinomial distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`multivariate_normal "
"<mars.tensor.random.RandomState.multivariate_normal>`\\ \\(mean\\, "
"cov\\[\\, size\\, ...\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw random samples from a multivariate normal distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`negative_binomial "
"<mars.tensor.random.RandomState.negative_binomial>`\\ \\(n\\, p\\[\\, "
"size\\, chunk\\_size\\, ...\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from a negative binomial distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`noncentral_chisquare "
"<mars.tensor.random.RandomState.noncentral_chisquare>`\\ \\(df\\, "
"nonc\\[\\, size\\, ...\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from a noncentral chi-square distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`noncentral_f <mars.tensor.random.RandomState.noncentral_f>`\\ "
"\\(dfnum\\, dfden\\, nonc\\[\\, size\\, ...\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from the noncentral F distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`normal <mars.tensor.random.RandomState.normal>`\\ \\(\\[loc\\, "
"scale\\, size\\, chunk\\_size\\, gpu\\, ...\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw random samples from a normal (Gaussian) distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`pareto <mars.tensor.random.RandomState.pareto>`\\ \\(a\\[\\, "
"size\\, chunk\\_size\\, gpu\\, dtype\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from a Pareto II or Lomax distribution with specified shape."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`permutation <mars.tensor.random.RandomState.permutation>`\\ "
"\\(x\\[\\, axis\\, chunk\\_size\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Randomly permute a sequence, or return a permuted range."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`poisson <mars.tensor.random.RandomState.poisson>`\\ \\(\\[lam\\, "
"size\\, chunk\\_size\\, gpu\\, dtype\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from a Poisson distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`power <mars.tensor.random.RandomState.power>`\\ \\(a\\[\\, size\\, "
"chunk\\_size\\, gpu\\, dtype\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
"Draws samples in [0, 1] from a power distribution with positive exponent "
"a - 1."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`rand <mars.tensor.random.RandomState.rand>`\\ \\(\\*dn\\, "
"\\*\\*kw\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Random values in a given shape."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`randint <mars.tensor.random.RandomState.randint>`\\ \\(low\\[\\, "
"high\\, size\\, dtype\\, density\\, ...\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Return random integers from `low` (inclusive) to `high` (exclusive)."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`randn <mars.tensor.random.RandomState.randn>`\\ \\(\\*dn\\, "
"\\*\\*kw\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Return a sample (or samples) from the \"standard normal\" distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`random <mars.tensor.random.RandomState.random>`\\ \\(\\[size\\, "
"chunk\\_size\\, gpu\\, dtype\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Return random floats in the half-open interval [0.0, 1.0)."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`random_integers <mars.tensor.random.RandomState.random_integers>`\\"
" \\(low\\[\\, high\\, size\\, ...\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Random integers of type mt.int between `low` and `high`, inclusive."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`random_sample <mars.tensor.random.RandomState.random_sample>`\\ "
"\\(\\[size\\, chunk\\_size\\, gpu\\, dtype\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`ranf <mars.tensor.random.RandomState.ranf>`\\ \\(\\[size\\, "
"chunk\\_size\\, gpu\\, dtype\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`rayleigh <mars.tensor.random.RandomState.rayleigh>`\\ "
"\\(\\[scale\\, size\\, chunk\\_size\\, gpu\\, dtype\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from a Rayleigh distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`sample <mars.tensor.random.RandomState.sample>`\\ \\(\\[size\\, "
"chunk\\_size\\, gpu\\, dtype\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ":obj:`seed <mars.tensor.random.RandomState.seed>`\\ \\(\\[seed\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Seed the generator."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`shuffle <mars.tensor.random.RandomState.shuffle>`\\ \\(x\\[\\, "
"axis\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Modify a sequence in-place by shuffling its contents."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`standard_cauchy <mars.tensor.random.RandomState.standard_cauchy>`\\"
" \\(\\[size\\, chunk\\_size\\, gpu\\, dtype\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from a standard Cauchy distribution with mode = 0."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`standard_exponential "
"<mars.tensor.random.RandomState.standard_exponential>`\\ \\(\\[size\\, "
"chunk\\_size\\, ...\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from the standard exponential distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`standard_gamma <mars.tensor.random.RandomState.standard_gamma>`\\ "
"\\(shape\\[\\, size\\, chunk\\_size\\, ...\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from a standard Gamma distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`standard_normal <mars.tensor.random.RandomState.standard_normal>`\\"
" \\(\\[size\\, chunk\\_size\\, gpu\\, dtype\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from a standard Normal distribution (mean=0, stdev=1)."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`standard_t <mars.tensor.random.RandomState.standard_t>`\\ "
"\\(df\\[\\, size\\, chunk\\_size\\, gpu\\, dtype\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
"Draw samples from a standard Student's t distribution with `df` degrees "
"of freedom."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ":obj:`to_numpy <mars.tensor.random.RandomState.to_numpy>`\\ \\(\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`triangular <mars.tensor.random.RandomState.triangular>`\\ "
"\\(left\\, mode\\, right\\[\\, size\\, ...\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
"Draw samples from the triangular distribution over the interval ``[left, "
"right]``."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`uniform <mars.tensor.random.RandomState.uniform>`\\ \\(\\[low\\, "
"high\\, size\\, chunk\\_size\\, gpu\\, ...\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from a uniform distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`vonmises <mars.tensor.random.RandomState.vonmises>`\\ \\(mu\\, "
"kappa\\[\\, size\\, chunk\\_size\\, gpu\\, ...\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from a von Mises distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`wald <mars.tensor.random.RandomState.wald>`\\ \\(mean\\, "
"scale\\[\\, size\\, chunk\\_size\\, gpu\\, dtype\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from a Wald, or inverse Gaussian, distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`weibull <mars.tensor.random.RandomState.weibull>`\\ \\(a\\[\\, "
"size\\, chunk\\_size\\, gpu\\, dtype\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from a Weibull distribution."
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid ""
":obj:`zipf <mars.tensor.random.RandomState.zipf>`\\ \\(a\\[\\, size\\, "
"chunk\\_size\\, gpu\\, dtype\\]\\)"
msgstr ""

#: ../../source/reference/tensor/generated/mars.tensor.random.RandomState.rst:66:<autosummary>:1
msgid "Draw samples from a Zipf distribution."
msgstr ""

