<div dir="ltr">On Wed, Jan 10, 2018 at 11:27 PM, Saagar Jha <span dir="ltr"><<a href="mailto:saagar@saagarjha.com" target="_blank">saagar@saagarjha.com</a>></span> wrote:<br><div class="gmail_extra"><div class="gmail_quote"><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-style:solid;border-left-color:rgb(204,204,204);padding-left:1ex"><div style="word-wrap:break-word;line-break:after-white-space">Not a floating point expert, but are you sure this works? I have a feeling this would lead to a distribution that’s not uniform.<div><span class="gmail-HOEnZb"><font color="#888888"><br></font></span></div></div></blockquote><div><br></div><div>Yes, it would not be uniform, which is exactly what I meant by the last part of: "<span style="color:rgb(80,0,80);font-size:12.800000190734863px">Assuming you are ok with signed zero and infinities and "strange" bias as result of IEEE 754"</span></div><div><br></div><div>Also, I think it's impossible to get a uniform distribution of all non-Nan Double values (since they include +- infinity).</div><div><br></div><div><font color="#500050"><span style="font-size:12.800000190734863px">/Jens</span></font></div><div><font color="#500050"><span style="font-size:12.800000190734863px"><br></span></font></div><div> </div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-style:solid;border-left-color:rgb(204,204,204);padding-left:1ex"><div style="word-wrap:break-word;line-break:after-white-space"><div><span class="gmail-HOEnZb"><font color="#888888"><div>
<div style="color:rgb(0,0,0);letter-spacing:normal;text-align:start;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;word-wrap:break-word">Saagar Jha</div>
</div>
</font></span><div><br><blockquote type="cite"><div><div class="gmail-h5"><div>On Jan 10, 2018, at 14:07, Jens Persson via swift-evolution <<a href="mailto:swift-evolution@swift.org" target="_blank">swift-evolution@swift.org</a>> wrote:</div><br class="gmail-m_3506493873590993612Apple-interchange-newline"></div></div><div><div><div class="gmail-h5"><div dir="ltr">On Tue, Jan 9, 2018 at 10:07 PM, Jonathan Hull via swift-evolution <span dir="ltr"><<a href="mailto:swift-evolution@swift.org" target="_blank">swift-evolution@swift.org</a>></span> wrote:<br><div class="gmail_extra"><div class="gmail_quote"><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left-width:1px;border-left-style:solid;border-left-color:rgb(204,204,204);padding-left:1ex"><div style="word-wrap:break-word"><div><br></div><div><div>One additional question. How do you ergonomically get a Double which doesn’t have a range, but also isn’t NaN?</div><div><div class="gmail-m_3506493873590993612gmail-h5"><div><br></div></div></div></div></div></blockquote><div><br></div><div>Assuming you are ok with signed zero and infinities and "strange" bias as result of IEEE 754:</div><div><div><br></div><div>func randomNonNanDouble<R: RandomNumberGenerator>(using generator: R) -> Double {</div><div> while true {</div><div> let rndUInt64 = generator.next()</div><div> let rndDouble = Double(bitPattern: rndUInt64)</div><div> if rndDouble != Double.nan { return rndDouble }</div><div> }</div><div>}<br></div></div><div><br></div><div>/Jens</div><div><br></div></div></div></div></div></div><span class="gmail-">
______________________________<wbr>_________________<br>swift-evolution mailing list<br><a href="mailto:swift-evolution@swift.org" target="_blank">swift-evolution@swift.org</a><br><a href="https://lists.swift.org/mailman/listinfo/swift-evolution" target="_blank">https://lists.swift.org/<wbr>mailman/listinfo/swift-<wbr>evolution</a><br></span></div></blockquote></div><br></div></div></blockquote></div><br></div></div>