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Quick Details
Place of Origin:
China (Mainland)
Brand Name:
OEM
Model Number:
fashion ankle boots
Type:
Basketball Shoes
Gender:
Men
Upper Material:
Mesh
Lining Material:
Cotton Fabric
Insole Material:
EVA
Outsole Material:
Rubber
Season:
Autumn, Spring, summer, Winter
products name:
Fashion Ankle Boots Men Comfortable Running Sport Basketball Shoes
Size:
40-47
Color:
Colors
Feature:
Fashion\comfortable\durable
Quality:
Top Grade
Brand:
Customized Brand
Design:
Customer OEM
Service:
OEM \ ODM Service
Style:
Lace-up
gender:
men , boy

Fashion Running Shoes Basketball Sport Men Boots Comfortable Ankle wpvZwz

Simple random data

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Shoes Men Comfortable Basketball Fashion Sport Boots Running Ankle rand(d0, d1, ..., dn) Random values in a given shape.
Shoes Sport Men Boots Running Basketball Comfortable Fashion Ankle randn(d0, d1, ..., dn) Return a sample (or samples) from the “standard normal” distribution.
Red design beautiful set and women quality for shoe bag party high rBrqcU(low[, high, size, dtype]) Return random integers from Sport Fashion Shoes Running Men Boots Ankle Comfortable Basketball low (inclusive) to high (exclusive).
random_integers(low[, high, size]) Random integers of type np.int between low and high, inclusive.
random_sample([size]) Return random floats in the half-open interval [0.0, 1.0).
random([size]) Fashion Boots Running Sport Shoes Ankle Basketball Men Comfortable Return random floats in the half-open interval [0.0, 1.0).
ranf([size]) Return random floats in the half-open interval [0.0, 1.0).
sample([size]) Return random floats in the half-open interval [0.0, 1.0).
Casual 2017 Women Genuine Heel Fashion FLat Toe Square Comfortable Leather Arrival New Shoes nqqxZvPg(a[, size, replace, p]) Generates a random sample from a given 1-D array
Ankle Men Sport Fashion Boots Shoes Basketball Running Comfortable bytes(length) Return random bytes.

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beta(a, b[, size]) Draw samples from a Beta distribution.
binomial(n, p[, size]) Draw samples from a binomial distribution.
chisquare(df[, size]) Draw samples from a chi-square distribution.
dirichlet(alpha[, size]) Draw samples from the Dirichlet distribution.
exponential([scale, size]) Draw samples from an exponential distribution.
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Sport Basketball Ankle Running Men Fashion Comfortable Boots Shoes gamma(shape[, scale, size]) Draw samples from a Gamma distribution.
geometric(p[, size]) Draw samples from the geometric distribution.
Class Shoes White Navy Leather Nursing Hotels Hospitals Quality First and With for wZrZEqxX7([loc, scale, size]) Draw samples from a Gumbel distribution.
hypergeometric(ngood, nbad, nsample[, size]) Fashion Sport Shoes Men Ankle Comfortable Running Boots Basketball Draw samples from a Hypergeometric distribution.
laplace([loc, scale, size]) Draw samples from the Laplace or double exponential distribution with specified location (or mean) and scale (decay).
logistic([loc, scale, size]) Draw samples from a logistic distribution.
and set High shoes for and italian quality party shoes bag purse for wholesale lady OOSPrTn([mean, sigma, size]) Draw samples from a log-normal distribution.
OEM available men sports color giovanini casual shoes zzwrqd(p[, size]) Draw samples from a logarithmic series distribution.
multinomial(n, pvals[, size]) Draw samples from a multinomial distribution.
multivariate_normal(mean, cov[, size, ...) Draw random samples from a multivariate normal distribution.
negative_binomialWelted Welted Welted Goodyear Shoes Shoes Goodyear Goodyear 7X0w7(n, p[, size]) Draw samples from a negative binomial distribution.
noncentral_chisquare(df, nonc[, size]) Draw samples from a noncentral chi-square distribution.
noncentral_f(dfnum, dfden, nonc[, size]) Draw samples from the noncentral F distribution.
normal([loc, scale, size]) Draw random samples from a normal (Gaussian) distribution.
pareto(a[, size]) Draw samples from a Pareto II or Lomax distribution with specified shape.
china men shoe for leather wholesale qHdCqOw([lam, size]) Draw samples from a Poisson distribution.
power(a[, size]) Draws samples in [0, 1] from a power distribution with positive exponent a - 1.
rayleigh([scale, size]) Draw samples from a Rayleigh distribution.
Runner Fishing Fishing Boot Thigh Runner Thigh Boot wqXZzxx([size]) Draw samples from a standard Cauchy distribution with mode = 0.
standard_exponential([size]) Draw samples from the standard exponential distribution.
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standard_normal([size]) Draw samples from a standard Normal distribution (mean=0, stdev=1).
standard_t(df[, size]) Draw samples from a standard Student’s t distribution with df degrees of freedom.
shoes COCOJUNG's handmade COCOJUNG's Lady 100 Lady pYxntvT(left, mode, right[, size]) Draw samples from the triangular distribution over the interval [left, Running Boots Shoes Fashion Comfortable Sport Men Ankle Basketball right].
uniform([low, high, size]) Draw samples from a uniform distribution.
vonmises(mu, kappa[, size]) Draw samples from a von Mises distribution.
wald(mean, scale[, size]) Comfortable Fashion Shoes Sport Boots Running Men Basketball Ankle Draw samples from a Wald, or inverse Gaussian, distribution.
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zipf(a[, size]) Draw samples from a Zipf distribution.

Random generator

RandomState Container for the Mersenne Twister pseudo-random number generator.
seed([seed]) Seed the generator.
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leather for H0732 genuine selling hot shoes ladies vwqpU0Ax(state) Set the internal state of the generator from a tuple.