rename sample_normal_from_90_ci and add to squiggle.h
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			@ -70,7 +70,7 @@ double sample_lognormal(double logmean, double logstd, uint64_t* seed)
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    return exp(sample_normal(logmean, logstd, seed));
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}
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inline double sample_normal_from_90_confidence_interval(double low, double high, uint64_t* seed)
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double sample_normal_from_90_ci(double low, double high, uint64_t* seed)
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{
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    // Explanation of key idea:
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    // 1. We know that the 90% confidence interval of the unit normal is
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			@ -101,10 +101,10 @@ double sample_to(double low, double high, uint64_t* seed)
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    // returns a sample from a lognorma with a matching 90% c.i.
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    // Key idea: If we want a lognormal with 90% confidence interval [a, b]
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    // we need but get a normal with 90% confidence interval [log(a), log(b)].
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    // Then see code for sample_normal_from_90_confidence_interval
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    // Then see code for sample_normal_from_90_ci
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    double loglow = log(low);
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    double loghigh = log(high);
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    return exp(sample_normal_from_90_confidence_interval(loglow, loghigh, seed));
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    return exp(sample_normal_from_90_ci(loglow, loghigh, seed));
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}
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double sample_gamma(double alpha, uint64_t* seed)
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			@ -15,6 +15,7 @@ double sample_unit_normal(uint64_t* seed);
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double sample_uniform(double start, double end, uint64_t* seed);
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double sample_normal(double mean, double sigma, uint64_t* seed);
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double sample_lognormal(double logmean, double logsigma, uint64_t* seed);
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double sample_normal_from_90_ci(double low, double high, uint64_t* seed);
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double sample_to(double low, double high, uint64_t* seed);
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double sample_gamma(double alpha, uint64_t* seed);
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