はてなキーワード: Addとは
BigList<T>の内部で使われているやつをGapBuffer<T>に置き換えてみたら、リーフノードのサイズが32768だと遅くなるけど、最大メモリー使用量はそこまで変わらんな。
benchmark start
Allocated GC Memory:60,232bytes
Allocated GC Memory:199,389,088bytes
Allocated GC Memory:199,404,752bytes
Allocated GC Memory:368,390,176bytes
Allocated GC Memory:368,390,176bytes
Allocated GC Memory:368,390,320bytes
clear buffer
Allocated GC Memory:83,992bytes
benchmark start
Allocated GC Memory:60,232bytes
Allocated GC Memory:332,559,240bytes
Allocated GC Memory:332,583,016bytes
Allocated GC Memory:369,076,056bytes
Allocated GC Memory:369,076,056bytes
Allocated GC Memory:369,076,200bytes
clear buffer
Allocated GC Memory:83,992bytes
ただ、ブロックサイズを32768にしても、最大で1.2倍程度しか遅くならず、文字数が変わらないなら、2割程度早くなるので、ブロックサイズをある程度大きくした方がいいようだ
This is a detailed description of an anime-style female character, designed for use in generating illustrations or animations with various poses. The character embodies a cute, energetic, and slightly quirky personality, fitting a schoolgirl or tech-savvy theme. Here are the key features:
Hair:
Long, straight, platinum blonde hair that extends past the shoulders, reaching mid-back.
Hair is parted in the middle, with two high ponytails on either side of the head.
Each ponytail is tied with large, red, mechanical or robotic-style hair accessories resembling small, spiked or angular devices (possibly hinting at a tech or sci-fi theme).
The hair has a smooth, glossy texture typical of anime art, with slight highlights to emphasize its brightness.
Eyes:
Large, expressive green eyes, typical of anime-style characters, with a gentle upward curve at the corners, giving a friendly and cheerful expression.
The eyes have visible eyelashes and a subtle sparkle or shine, enhancing the cute and youthful appearance.
Skin:
Fair, smooth skin with a soft, rosy blush on the cheeks, adding to the character’s youthful and lively vibe.
Outfit:
Wears a green school blazer with a white dress shirt underneath, typical of Japanese school uniforms (seifuku style).
The blazer has a structured, slightly oversized fit, with rolled-up sleeves, giving a casual yet stylish look.
A purple plaid skirt with ruffled edges, complementing the schoolgirl aesthetic while adding a playful touch.
A purple backpack with colorful, cartoonish patterns or stickers (possibly featuring small, chibi-style characters or tech motifs) slung over one shoulder.
Black knee-high socks and dark shoes, completing the school uniform look with a neat and tidy appearance.
Accessories:
Holding a black camera with both hands, positioned in front of her chest, suggesting she’s a photography enthusiast or documenting something.
A small, chibi-style plush toy or mascot character (with spiky orange hair and a mischievous grin) attached to her backpack, adding a quirky and playful element.
The red mechanical hair accessories on her ponytails, which have a futuristic or robotic design, possibly glowing faintly or featuring small LED-like details.
Pose and Expression:
Currently in a seated or slightly crouched pose, with legs bent and one knee raised, giving a relaxed and approachable demeanor.
Smiling softly with a closed-mouth smile, exuding warmth, friendliness, and a hint of curiosity or excitement (fitting for someone holding a camera).
The overall body language is lively and dynamic, with a slight tilt of the head, emphasizing her youthful energy.
Background and Context:
The character appears in a clean, minimal background (possibly white or light-colored) to keep the focus on her, but she could fit into a schoolyard, tech lab, or urban setting with cherry blossoms or modern buildings, reflecting a blend of traditional Japanese culture and futuristic themes.
The lighting is soft and natural, with slight shadows to add depth, maintaining an anime-style aesthetic.
The character suggests a blend of innocence and tech-savvy curiosity, possibly a schoolgirl with an interest in photography, robotics, or pop culture (inspired by the mechanical hair accessories and camera).
Her overall design balances cuteness (chibi plush toy, school uniform) with a modern, quirky edge (tech accessories, camera).
This script can be used as a base for generating images or illustrations of this character in various poses, such as standing, walking, taking photos, interacting with others, or exploring different environments. Adjust the pose, background, or additional props (like different camera angles or tech gadgets) as needed for specific scenes.
ある人が書いたBigListを改造して、リーフノードをリンクドリストでつないだら全列挙が早くなって、スタックオーバーフローしなくなった。
ただ、その代わり元々のコードにあったノードの共有機能はいらなそうなので省くことにした。
Core i5 10400F、メモリー16GBで、100文字×100行＝1億文字を突っ込んで、あれこれ操作した場合はこのくらいの速度で動く。
benchmark start
Allocated GC Memory:60,392bytes
Allocated GC Memory:416,037,968bytes
Allocated GC Memory:416,082,104bytes
Allocated GC Memory:416,082,272bytes
Allocated GC Memory:416,082,296bytes
Allocated GC Memory:416,082,440bytes
clear buffer
ListやGapBufferだとGCに優しくないけど、BigListだとLOH入りしないので、GCに優しいのだ。
その代わり速度はBigListの中身はRopeなので、少し遅くなるのだ。
Ropeで、リーフノードをリンクドリストでつないだ場合、挿入と削除、追加、ランダムアクセスはO(Log N)、全列挙はO(N)なのだ。
MITライセンスなんで商用でも問題ないけど、元々のBigListのライセンスに不穏なことが書いてあったので、気になるなら、自分で書き直したほうがいい。
The rebalancing algorithm is from "Ropes: an Alternative to Strings", by
Boehm, Atkinson, and Plass, in SOFTWARE--PRACTICE AND EXPERIENCE, VOL. 25(12), 1315–1330 (DECEMBER 1995).
https://www.cs.tufts.edu/comp/150FP/archive/hans-boehm/ropes.pdf
http://hvivi.dyndns.org/sse/replaceAll.html
さくさくエディタのまねをして全置換えでベンチマークを取ってみた。
benchmark start
Allocated GC Memory:60,392bytes
Allocated GC Memory:440,048,840bytes
Allocated GC Memory:440,082,632bytes
Allocated GC Memory:440,082,656bytes
clear buffer
Allocated GC Memory:82,280bytes
Rope<T>は削除と置き換え、文字列のランダムアクセスがO(log N)なのでさくさくエディタに比べると遅い。
Please consider the histroy of humanity from biological perpsecitve and current known fact in nearby universe, which expo-planet (from the Sol system perspective) is most likely to have civlizaed society? Please add percentage next to it in the chart
ChatGPT
Reasoned about exoplanet civilization likelihoodを28 秒行う
Evaluating planetary prospects
OK, I’m looking at the likelihood of a civilized society on an exoplanet within our Solar System. I’ll consider biological history and current space knowledge, aiming to identify the most promising candidate.
Identifying potential candidates
I'm considering exoplanets like Proxima Centauri b and TRAPPIST-1e, which might suggest they are within or observed from our Solar System.
Assessing potential candidates
I’m evaluating Proxima Centauri b, Barnard's Star, LHS 1140, and TRAPPIST-1, focusing on their habitable zones and available data. The Drake equation might help estimate their civilized society likelihoods.
Identifying promising exoplanets
I’m noting key exoplanets like Proxima Centauri b and TRAPPIST-1, which have Earth-like characteristics and are in habitable zones. This narrows down the potential candidates for advanced civilizations.
I'm gathering info on planets like Proxima Centauri b and TRAPPIST-1, considering factors like magnetic fields, atmospheres, and proximity to G-type stars for their potential to support advanced civilizations.
Evaluating exoplanet prospects
I'm noting that Proxima Centauri b, despite being close and around a red dwarf star, might support life if it has a magnetic field and atmosphere. This makes me think about its potential.
Charting probabilities
I'm estimating civilization probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e, using speculative percentages based on the Drake equation and the lack of evidence for intelligent life.
I'm crafting a chart with exoplanet names and civilization likelihood percentages, grounded in the long timeline of life's evolution, despite the speculative nature of these figures.
Identifying exoplanet contenders
I’m evaluating exoplanets like Proxima Centauri b, TRAPPIST-1 e, and Kepler-186f, considering their star types and distances, to gauge their potential for supporting advanced civilizations from our solar system's viewpoint.
Weighing proximity and observation
I'm leaning towards Proxima Centauri b due to its closeness and observational potential, despite concerns about its flare star dynamics. TRAPPIST-1 e, f, or g are also worth considering.
I'm focusing on exoplanets like Proxima Centauri b, Ross 128 b, LHS 1140 b, TRAPPIST-1 e/f/g, and K2-18b, aiming to chart their likelihood of hosting a civilized society based on current knowledge.
Assessing exoplanet potentials
I'm gathering speculative probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e/f/g, using the Drake equation and current understanding, to better estimate their chances of hosting a civilized society.
Refining speculative probabilities
I’m refining speculative probabilities for exoplanets, including Proxima Centauri b and TRAPPIST-1 e/f/g, to estimate their chances of hosting a civilized society, considering Earth's long biological history.
Refining odds
I'm considering the astronomical timeline for intelligent life on Earth, leading me to assign even lower speculative odds for exoplanets like Proxima Centauri b and TRAPPIST-1 e.
I’m crafting a simplified chart with arbitrary percentages, clearly noting the speculative nature and lack of scientific data, while considering the target audience's basic understanding of the topic.
I’m charting arbitrary percentages for exoplanets, clarifying their speculative nature, and ensuring the data is accessible for young audiences with minimal scientific detail.
Crafting a chart
I’m creating a markdown table with speculative percentages for the likelihood of civilized life on exoplanets, emphasizing their purely theoretical nature and considering the understanding level of an 8-year-old.
Integrating speculative analysis
I’m mapping out a markdown chart with speculative percentages for the likelihood of a civilized society on exoplanets, mindful of the complexity and simplifying for an 8-year-old's understanding.
I’m piecing together markdown for exoplanets, noting Proxima Centauri b's reduced civilized life chance due to the red dwarf's activity. This inclusion highlights the speculative nature of the analysis.
Piecing together speculative odds
I’m detailing a markdown chart for audience-friendly exoplanet likelihoods, considering environmental challenges and adding a disclaimer about the speculative nature and lack of evidence.
Piecing together
I’m leaning towards Proxima Centauri b for its proximity and silent star, but I’ll add a speculative chart ranking nearby exoplanets, noting their advanced civilizations' hypothetical likelihood.
Assessing civilization probabilities
I'm emphasizing the slow emergence of intelligent life on Earth, which suggests that the odds of any habitable planet developing a complex civilization might be as low as a few percent.
Below is a very speculative chart that—based on what we know about Earth’s long, winding path from simple life to a “civilized society” and our limited observations of nearby exoplanets—gives some fun, made‑up percentage chances for a few of our best candidate exoplanets. Remember: Scientists have not yet found any proof of life (let alone advanced civilizations) on any exoplanet. These numbers are just playful estimates to help you think about the ideas!
Speculative Chances of Finding an Advanced Civilization on Nearby Exoplanets
Exoplanet Estimated Likelihood of a Civilized Society
Proxima Centauri b ~2%
LHS 1140 b ~0.5%
How Did We (Very Roughly) Guess These Numbers?
Earth’s Example:
On Earth, life began as simple single‑celled organisms and took billions of years to evolve into a species that built complex societies. This long journey suggests that—even if a planet is in the “habitable zone” (where liquid water could exist)—developing an advanced, civilized society might be rare.
Proxima Centauri b:
This is the closest exoplanet to us. Even though its star (Proxima Centauri) is a red dwarf that sometimes sends out strong flares (which might harm life), its closeness makes it one of our most interesting candidates. That’s why we give it a slightly higher guess (~2%).
These planets are part of a group orbiting a very cool star. Their environments might be challenging (for example, they could be tidally locked, meaning one side always faces the star), so the chance of a complex, advanced civilization might be a bit lower.
LHS 1140 b:
This planet is promising in some ways but is a little farther away and around a dimmer star, so our playful estimate is even lower.
All of these percentages are extremely rough guesses based on what little we understand about the conditions for life and intelligence. Scientists use ideas like the Drake Equation to think about these chances—but until we have concrete evidence, these numbers remain just for fun and imagination.
Enjoy exploring these ideas—and remember, space is full of mysteries waiting to be discovered!
あなた:
Please examine the Drake Equation itself and see if this euqation is acculate or more opition in the equation you will use
ChatGPT
Reasoned about the Drake Equationを6 秒行う
re-examining the Drake Equation
evaluating the Drake Equation's value
OK, let me see. The Drake Equation isn't a precise formula; it's more of a guiding heuristic that tackles numerous uncertainties regarding extraterrestrial civilizations.
Thinking through the Drake Equation, I’m evaluating its conceptual nature, its uncertain parameters, and its criticism to conclude on its reliability as an accurate predictive model.
Understanding the Drake Equation
I’m mapping out the Drake Equation as a conceptual guide, detailing its parameters, which are often based on estimates or opinions, to evaluate its reliability for predicting extraterrestrial civilizations.
The Drake Equation is a famous formula that was created to help scientists think about the many factors involved in estimating the number of detectable extraterrestrial civilizations in our galaxy. However, when we look at the equation closely, we see that it is more of a conceptual framework or heuristic tool than a precise, predictive formula. Let’s break down why:
The equation is usually written as:
𝑁
=
𝑅
∗
×
𝑓
𝑝
×
𝑛
𝑒
×
𝑓
𝑙
×
𝑓
𝑖
×
𝑓
𝑐
×
𝐿
N=R
∗
×f
p
×n
e
×f
l
×f
i
×f
c
×L
Where:
𝑅
∗
R
∗
: The average rate of star formation per year in our galaxy.
𝑓
𝑝
f
p
: The fraction of those stars that have planetary systems.
𝑛
𝑒
n
e
: The average number of planets that could potentially support life per star with planets.
𝑓
𝑙
f
l
: The fraction of those planets where life actually develops.
𝑓
𝑖
f
i
: The fraction of planets with life where intelligent life evolves.
𝑓
𝑐
f
c
: The fraction of civilizations that develop technology that releases detectable signals into space.
𝐿
L: The length of time such civilizations release detectable signals.
Why the Drake Equation Is More of a Guideline Than a Precise Formula
Uncertain Inputs:
𝑅
∗
R
∗
𝑓
𝑝
f
p
(fraction of stars with planets), have become better known through modern astronomy.
The parameters related to the development of life and intelligence—
𝑓
𝑙
f
l
,
𝑓
𝑖
f
i
,
𝑓
𝑐
f
c
, and
𝐿
L—are based on very limited data. For example, Earth is the only planet we know where life has developed, so we have no way to compare or derive a statistically robust estimate for these factors. This means that the values chosen for these parameters are largely subjective estimates or educated guesses.
Wide Ranges of Possible Values:
Because many of these factors are not well-constrained, if you change one of the more uncertain parameters even slightly, the final estimate for
𝑁
N (the number of civilizations) can vary by many orders of magnitude. This wide range shows that the equation can lead to very different outcomes based on personal or theoretical assumptions.
The Drake Equation was never meant to provide a precise answer. Instead, it serves as a way to organize our thinking about what conditions might be necessary for the development of extraterrestrial civilizations. It encourages discussion about the relative importance of different factors and highlights where our scientific knowledge is limited.
Is the Drake Equation Accurate or More Opinion-Based?
Accurate?
In the sense of being a strict mathematical model with well-defined inputs and predictable outputs, the Drake Equation is not accurate. Its accuracy is limited by the extreme uncertainties in several of its key parameters.
Many of the terms in the equation, especially those concerning the evolution of life and intelligence, are based on opinion, interpretation, and the single example of Earth. Therefore, while the structure of the equation is logical, the numbers you put into it (and hence the final result) are often more reflective of our current opinions and assumptions than of robust empirical data.
The Drake Equation is a valuable tool for framing the question of extraterrestrial life. It helps scientists and enthusiasts break down a complex problem into smaller, more manageable questions. However, because several of its factors are highly uncertain and subject to personal interpretation, it is more of a conceptual guide—or even a way to stimulate discussion—than a formula that provides a definitive, accurate prediction of the number of extraterrestrial civilizations.
In summary, while the Drake Equation is useful for thinking about the various factors that might lead to the emergence of a civilization, its outputs should be taken as highly speculative estimates rather than precise measurements.
あなた:
Please also consider the possiblities of non-human intelligent emrgencing from the long history of Sol system and nearby planets and see if there is any possiblites that in one time intelligent life emerged in nearby planets and see this to the equation
ChatGPT
Reasoned about non-human intelligence and the Drake Equationを19 秒行う
Evaluating non-human intelligence
I'm thinking about the potential for non-human intelligent life forms in the Sol system and neighboring planets, and how this might factor into the equation.
Piecing together possibilities
I'm thinking about how to integrate the emergence of non-human intelligent life, possibly on Mars or Europa, into the Drake Equation for the Sol system and neighboring planets.
It's interesting to think about the hypothesis of intelligent life emerging on Mars or Venus, though Earth remains the only known life-supporting planet in the solar system.
Considering other realms
I'm examining if intelligent life could have emerged on planets like Mars, Venus, or Europa, and how this possibility aligns with the predictions of the Drake Equation.
Hmm, I’m thinking about how non-human intelligent life on Mars or Venus could intersect with the assumptions of the Drake Equation, which seems to focus solely on Earth-based evolution.
I’m piecing together the hypothesis of non-human, advanced, intelligent life in the solar system. Mars, Venus, and Titan present challenges, but Europa and Enceladus might harbor microbial life.
Please consider the histroy of humanity from biological perpsecitve and current known fact in nearby universe, which expo-planet (from the Sol system perspective) is most likely to have civlizaed society? Please add percentage next to it in the chart
ChatGPT
Reasoned about exoplanet civilization likelihoodを28 秒行う
Evaluating planetary prospects
OK, I’m looking at the likelihood of a civilized society on an exoplanet within our Solar System. I’ll consider biological history and current space knowledge, aiming to identify the most promising candidate.
Identifying potential candidates
I'm considering exoplanets like Proxima Centauri b and TRAPPIST-1e, which might suggest they are within or observed from our Solar System.
Assessing potential candidates
I’m evaluating Proxima Centauri b, Barnard's Star, LHS 1140, and TRAPPIST-1, focusing on their habitable zones and available data. The Drake equation might help estimate their civilized society likelihoods.
Identifying promising exoplanets
I’m noting key exoplanets like Proxima Centauri b and TRAPPIST-1, which have Earth-like characteristics and are in habitable zones. This narrows down the potential candidates for advanced civilizations.
I'm gathering info on planets like Proxima Centauri b and TRAPPIST-1, considering factors like magnetic fields, atmospheres, and proximity to G-type stars for their potential to support advanced civilizations.
Evaluating exoplanet prospects
I'm noting that Proxima Centauri b, despite being close and around a red dwarf star, might support life if it has a magnetic field and atmosphere. This makes me think about its potential.
Charting probabilities
I'm estimating civilization probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e, using speculative percentages based on the Drake equation and the lack of evidence for intelligent life.
I'm crafting a chart with exoplanet names and civilization likelihood percentages, grounded in the long timeline of life's evolution, despite the speculative nature of these figures.
Identifying exoplanet contenders
I’m evaluating exoplanets like Proxima Centauri b, TRAPPIST-1 e, and Kepler-186f, considering their star types and distances, to gauge their potential for supporting advanced civilizations from our solar system's viewpoint.
Weighing proximity and observation
I'm leaning towards Proxima Centauri b due to its closeness and observational potential, despite concerns about its flare star dynamics. TRAPPIST-1 e, f, or g are also worth considering.
I'm focusing on exoplanets like Proxima Centauri b, Ross 128 b, LHS 1140 b, TRAPPIST-1 e/f/g, and K2-18b, aiming to chart their likelihood of hosting a civilized society based on current knowledge.
Assessing exoplanet potentials
I'm gathering speculative probabilities for exoplanets like Proxima Centauri b and TRAPPIST-1 e/f/g, using the Drake equation and current understanding, to better estimate their chances of hosting a civilized society.
Refining speculative probabilities
I’m refining speculative probabilities for exoplanets, including Proxima Centauri b and TRAPPIST-1 e/f/g, to estimate their chances of hosting a civilized society, considering Earth's long biological history.
Refining odds
I'm considering the astronomical timeline for intelligent life on Earth, leading me to assign even lower speculative odds for exoplanets like Proxima Centauri b and TRAPPIST-1 e.
I’m crafting a simplified chart with arbitrary percentages, clearly noting the speculative nature and lack of scientific data, while considering the target audience's basic understanding of the topic.
I’m charting arbitrary percentages for exoplanets, clarifying their speculative nature, and ensuring the data is accessible for young audiences with minimal scientific detail.
Crafting a chart
I’m creating a markdown table with speculative percentages for the likelihood of civilized life on exoplanets, emphasizing their purely theoretical nature and considering the understanding level of an 8-year-old.
Integrating speculative analysis
I’m mapping out a markdown chart with speculative percentages for the likelihood of a civilized society on exoplanets, mindful of the complexity and simplifying for an 8-year-old's understanding.
I’m piecing together markdown for exoplanets, noting Proxima Centauri b's reduced civilized life chance due to the red dwarf's activity. This inclusion highlights the speculative nature of the analysis.
Piecing together speculative odds
I’m detailing a markdown chart for audience-friendly exoplanet likelihoods, considering environmental challenges and adding a disclaimer about the speculative nature and lack of evidence.
Piecing together
I’m leaning towards Proxima Centauri b for its proximity and silent star, but I’ll add a speculative chart ranking nearby exoplanets, noting their advanced civilizations' hypothetical likelihood.
Assessing civilization probabilities
I'm emphasizing the slow emergence of intelligent life on Earth, which suggests that the odds of any habitable planet developing a complex civilization might be as low as a few percent.
Below is a very speculative chart that—based on what we know about Earth’s long, winding path from simple life to a “civilized society” and our limited observations of nearby exoplanets—gives some fun, made‑up percentage chances for a few of our best candidate exoplanets. Remember: Scientists have not yet found any proof of life (let alone advanced civilizations) on any exoplanet. These numbers are just playful estimates to help you think about the ideas!
Speculative Chances of Finding an Advanced Civilization on Nearby Exoplanets
Exoplanet Estimated Likelihood of a Civilized Society
Proxima Centauri b ~2%
LHS 1140 b ~0.5%
How Did We (Very Roughly) Guess These Numbers?
Earth’s Example:
On Earth, life began as simple single‑celled organisms and took billions of years to evolve into a species that built complex societies. This long journey suggests that—even if a planet is in the “habitable zone” (where liquid water could exist)—developing an advanced, civilized society might be rare.
Proxima Centauri b:
This is the closest exoplanet to us. Even though its star (Proxima Centauri) is a red dwarf that sometimes sends out strong flares (which might harm life), its closeness makes it one of our most interesting candidates. That’s why we give it a slightly higher guess (~2%).
These planets are part of a group orbiting a very cool star. Their environments might be challenging (for example, they could be tidally locked, meaning one side always faces the star), so the chance of a complex, advanced civilization might be a bit lower.
LHS 1140 b:
This planet is promising in some ways but is a little farther away and around a dimmer star, so our playful estimate is even lower.
All of these percentages are extremely rough guesses based on what little we understand about the conditions for life and intelligence. Scientists use ideas like the Drake Equation to think about these chances—but until we have concrete evidence, these numbers remain just for fun and imagination.
Enjoy exploring these ideas—and remember, space is full of mysteries waiting to be discovered!
あなた:
Please examine the Drake Equation itself and see if this euqation is acculate or more opition in the equation you will use
ChatGPT
Reasoned about the Drake Equationを6 秒行う
re-examining the Drake Equation
evaluating the Drake Equation's value
OK, let me see. The Drake Equation isn't a precise formula; it's more of a guiding heuristic that tackles numerous uncertainties regarding extraterrestrial civilizations.
Thinking through the Drake Equation, I’m evaluating its conceptual nature, its uncertain parameters, and its criticism to conclude on its reliability as an accurate predictive model.
Understanding the Drake Equation
I’m mapping out the Drake Equation as a conceptual guide, detailing its parameters, which are often based on estimates or opinions, to evaluate its reliability for predicting extraterrestrial civilizations.
The Drake Equation is a famous formula that was created to help scientists think about the many factors involved in estimating the number of detectable extraterrestrial civilizations in our galaxy. However, when we look at the equation closely, we see that it is more of a conceptual framework or heuristic tool than a precise, predictive formula. Let’s break down why:
The equation is usually written as:
𝑁
=
𝑅
∗
×
𝑓
𝑝
×
𝑛
𝑒
×
𝑓
𝑙
×
𝑓
𝑖
×
𝑓
𝑐
×
𝐿
N=R
∗
×f
p
×n
e
×f
l
×f
i
×f
c
×L
Where:
𝑅
∗
R
∗
: The average rate of star formation per year in our galaxy.
𝑓
𝑝
f
p
: The fraction of those stars that have planetary systems.
𝑛
𝑒
n
e
: The average number of planets that could potentially support life per star with planets.
𝑓
𝑙
f
l
: The fraction of those planets where life actually develops.
𝑓
𝑖
f
i
: The fraction of planets with life where intelligent life evolves.
𝑓
𝑐
f
c
: The fraction of civilizations that develop technology that releases detectable signals into space.
𝐿
L: The length of time such civilizations release detectable signals.
Why the Drake Equation Is More of a Guideline Than a Precise Formula
Uncertain Inputs:
𝑅
∗
R
∗
𝑓
𝑝
f
p
(fraction of stars with planets), have become better known through modern astronomy.
The parameters related to the development of life and intelligence—
𝑓
𝑙
f
l
,
𝑓
𝑖
f
i
,
𝑓
𝑐
f
c
, and
𝐿
L—are based on very limited data. For example, Earth is the only planet we know where life has developed, so we have no way to compare or derive a statistically robust estimate for these factors. This means that the values chosen for these parameters are largely subjective estimates or educated guesses.
Wide Ranges of Possible Values:
Because many of these factors are not well-constrained, if you change one of the more uncertain parameters even slightly, the final estimate for
𝑁
N (the number of civilizations) can vary by many orders of magnitude. This wide range shows that the equation can lead to very different outcomes based on personal or theoretical assumptions.
The Drake Equation was never meant to provide a precise answer. Instead, it serves as a way to organize our thinking about what conditions might be necessary for the development of extraterrestrial civilizations. It encourages discussion about the relative importance of different factors and highlights where our scientific knowledge is limited.
Is the Drake Equation Accurate or More Opinion-Based?
Accurate?
In the sense of being a strict mathematical model with well-defined inputs and predictable outputs, the Drake Equation is not accurate. Its accuracy is limited by the extreme uncertainties in several of its key parameters.
Many of the terms in the equation, especially those concerning the evolution of life and intelligence, are based on opinion, interpretation, and the single example of Earth. Therefore, while the structure of the equation is logical, the numbers you put into it (and hence the final result) are often more reflective of our current opinions and assumptions than of robust empirical data.
The Drake Equation is a valuable tool for framing the question of extraterrestrial life. It helps scientists and enthusiasts break down a complex problem into smaller, more manageable questions. However, because several of its factors are highly uncertain and subject to personal interpretation, it is more of a conceptual guide—or even a way to stimulate discussion—than a formula that provides a definitive, accurate prediction of the number of extraterrestrial civilizations.
In summary, while the Drake Equation is useful for thinking about the various factors that might lead to the emergence of a civilization, its outputs should be taken as highly speculative estimates rather than precise measurements.
あなた:
Please also consider the possiblities of non-human intelligent emrgencing from the long history of Sol system and nearby planets and see if there is any possiblites that in one time intelligent life emerged in nearby planets and see this to the equation
ChatGPT
Reasoned about non-human intelligence and the Drake Equationを19 秒行う
Evaluating non-human intelligence
I'm thinking about the potential for non-human intelligent life forms in the Sol system and neighboring planets, and how this might factor into the equation.
Piecing together possibilities
I'm thinking about how to integrate the emergence of non-human intelligent life, possibly on Mars or Europa, into the Drake Equation for the Sol system and neighboring planets.
It's interesting to think about the hypothesis of intelligent life emerging on Mars or Venus, though Earth remains the only known life-supporting planet in the solar system.
Considering other realms
I'm examining if intelligent life could have emerged on planets like Mars, Venus, or Europa, and how this possibility aligns with the predictions of the Drake Equation.
Hmm, I’m thinking about how non-human intelligent life on Mars or Venus could intersect with the assumptions of the Drake Equation, which seems to focus solely on Earth-based evolution.
I’m piecing together the hypothesis of non-human, advanced, intelligent life in the solar system. Mars, Venus, and Titan present challenges, but Europa and Enceladus might harbor microbial life.
試しに98文字の追加と３文字削除して３文字挿入、３文字削除して４文字挿入をそれぞれ１０万行繰り返してみた。
ADD：1984ms
REPLACE(3 char)：8942ms
自作のBPlusTreeをListとして使えるようにしたやつよりも文字数が増えるパターンでは遅い。
GapBufferくそ強い。
viviエディターの作者が提唱した局所的行更新のやり方を使うと大体の場面ではO(1)で済ませられる。
ただ、C#だとNaitiveMemoryArrayがstructとcharなど一部の型に限定されるので、クラス設計をどうするのかという問題が出てくる。
メモリーに入りきらないような巨大ファイルだとBPlusTreeに放り込んでうまいことやったほうがここら辺は楽だが、キー（テキストエディターの場合は1-64みたい範囲であることが多い）に何かしらの値を足さないといけないので、遅くなる。
VisualStudioCodeの中の人がウサギの穴と言っていたが、まさにその通りだ。
役所には市民相談へ行くつもりだけどどのみち弁護士を雇うとなってもまとまった費用の捻出が難しいので分割や安価で動ける手段がないかのアドバイスを聞いてみたい
生活保護は増田が中途半端に給与を得ているので対象にならないんだ… スキル的にも転職したとて給与が上がる事にはならない(現職は障害者雇用の中ではマシな方だとは思っている)
神待ちは二十代前半ならともかく30をとっくに超えたメンヘラ女を拾う神居ると思う？？？
余程の爆美女かウンコも食う位なんでもするようなレベルでないと拾わなくない？？
とお察しの通り無理無理うるさいクソ女の自覚はあるしマトモな社会生活もままならないのでこれ以上社会の迷惑になる前になる早で死ねるように不健康に過ごしているところです。
【追記ココまで】
タイトルの通りの状況なのだが、増田の事情によりハイ離婚届書いて離婚成立〜！とは簡単にはいかなそうなので似たような離婚歴のある方の知見を得たく。
記事を書くのも初めてのため稚拙な箇所も多いかと思うが経験者の目に留めていただけることを願いつつ、以下に経緯を綴っていく。本筋に影響が極力出ない範囲でフェイクあり。
典型的機能不全家庭出身、モロ両親から遺伝のADD+二次障害の鬱持ち、精神手帳持ち
結婚時に連絡先を全て絶ち血縁者全員とは実質絶縁状態、出来うる限りの対策を取り増田の身元が血縁者に割れない状態
夫
家族仲も良好(上記家庭出身からしたら余程の余程でない限りどの家もマトモな部類になると思うが)
結婚は相手側の親類が増田の事情を理解してもらえたことによりすんなり。
お互い20代の頃に籍を入れ10年ほど経過、子どもは増田の生育環境由来のトラウマと鬱によりまずマトモに育てるのは無理という主張をしており夫も納得の上選択小梨として過ごしていた。
増田のメンタル面での体調問題は定期的にあるものの、目立つような夫婦喧嘩もなく平穏に暮らしていたが二年ほど前から夫側レスが始まり、話し合いを経た末に風俗通いが発覚、
その結果生理的に夫を受け入れられなくなり今年に入り別居を開始している←イマココ
夫は実家へ、増田は夫婦で生活していた賃貸マンションで現在生活中。
増田には夫含め親族一同に多大な恩があり、拾って貰った立場として離婚を言い出せない
更に、増田には帰る場所が無いため離婚が成立したとて直ぐに新天地ないし戻れる拠点もない
恥ずかしながら増田には手持ちの預金は殆ど無く、元々共有財産としていた夫婦の預金も100万程しか無いため幾らか貰えたとしても独りで生活出来るだけの拠点を作れるかが不安
金銭面だけでなく、現在の状況から精神がかなり悪化しており希死念慮も日に日に悪化してきているためそもそも一人暮らし自体現実的に無理なのでは、生理的に無理でも夫でもなんでも他人が居ないとそのまま死ぬのでは、と延々と悩んでいる
増田は離婚成立したら二度と再婚はしないし誰の子供も産むつもりも育てるつもりもなく、一人で生きていけるだけの仕事をし早めに死ねれば(メンヘラ以外にも複数の持病があり、健康寿命は恐らく平均値より短い)それでいいです。
メンヘラで希死念慮もあるが、なるべく自死は避けたいのでとにかく環境から来る鬱を治して精神を安定させたい
14本ですね。
| 順位 | 曲 | アーティスト | ジャンル |
| 1 | SUPERNATURAL | NEWJEANS | K-POP |
| 2 | DARUMA | DARUMAS | |
| 3 | 本日のおすすめ | 離婚伝説 | |
| 4 | FEELSLIKEIMFALLINGINLOVE | COLDPLAY | |
| 5 | BURNING | 羊文学 | |
| 6 | EARTH, WIND AND FIRE(JAPANESE VER.) | BOYNEXTDOOR | K-POP |
| 7 | SMALL GIRL | LEE YOUNG JI FEAT. D.O. | K-POP |
| 8 | EVERY HOUR | SALA | K-POP |
| 9 | EVER SEEN | BEABADOOBEE | K-POP |
| 10 | HUSH HUSH | BE:FIRST × ATEEZ | K-POP |
| 11 | HOT UPTOWN | CAMILA CABELLO FEAT. DRAKE | |
| 12 | 踊りませんか？ | AILE THE SHOTA | |
| 13 | 透明 | RLOEVO | |
| 14 | ラッキーカラー | あいみょん | K-POP |
| 15 | ROCKSTAR | LISA | |
| 16 | MUM | CHILLI BEANS. | |
| 17 | GOOD MORNING | a子 | |
| 18 | UNDEAD | YOASOBI | |
| 19 | 触れる唇 | XINU | |
| 20 | WOMAN'S WORLD | KATY PERRY | |
| 21 | LIFT YOU UP | JESSIE WARE & ROMY | |
| 22 | 影 | OVALL FEAT. さらさ | |
| 23 | PERFUME | PALE WAVES | |
| 24 | GOOD TOGETHER | LAKE STREET DIVE | |
| 25 | YOUNG MAN | HYUKOH, 落日飛車 | K-POP |
| 26 | MY BODY IS CUTE | 詩羽 | |
| 27 | ADD UP MY LOVE | CLAIRO | |
| 28 | RAZE THE BAR | TRAVIS | |
| 29 | BAD LOVE GOD | HOPE TALA | |
| 30 | DREAMBEND | KESSONCODA | |
| 31 | HOT MESS | AESPA | |
| 32 | SHARON | OFFICIAL髭男DISM | |
| 33 | SMERALDO GARDEN MARCHING BAND | JIMIN FEAT. LOCO | |
| 34 | ホムンクルス | VAUNDY | |
| 35 | YATTAAMAN | MISIIN | |
| 36 | 恋のブギウギナイト | サザンオールスターズ | |
| 37 | 赤猫 | 水曜日のカンパネラ | |
| 38 | ライリーストーン | 眞名子 新 | |
| 39 | DIVE | TWICE | K-POP |
| 40 | DUSKY DOLPHIN | NATSUDAIDAI | |
| 41 | POUR ME A DRINK | POST MALONE FEAT. BLAKE SHELTON | |
| 42 | NEVER LET GO | JUNG KOOK | K-POP |
| 43 | BIRDS OF A FEATHER | BILLIE EILISH | |
| 44 | HOW SWEET | NEWJEANS | K-POP |
| 45 | 私のモネ | LILY | |
| 46 | ふたりのBGM | GOOD BYE APRIL FEAT. 土岐 麻子 | |
| 47 | LUV STUCK | SALUTE AND PIRI | |
| 48 | うつつ | 鈴木 真海子 | |
| 49 | DONE WITH YOU | OMAR APOLLO | |
| 50 | THE RAIN | THE BURNING DEADWOODS FEAT. KENTA DEDACHI | |
| 51 | TIME | OLIVIA DEAN | |
| 52 | SHIKATO!!! | NOVEL CORE | |
| 53 | FOREVER | BABYMONSTER | |
| 54 | LIFT OFF! | SALUTE, DISCLOSURE | |
| 55 | マーメイド | 水曜日のカンパネラ | |
| 56 | 若者のすべて | SUIS FROM ヨルシカ | |
| 57 | あつまれ | MONJE | |
| 58 | RIGHT NOW | NEWJEANS | K-POP |
| 59 | SISTER | チョーキューメイ | |
| 60 | SIDE QUEST | PEARL & THE OYSTERS | |
| 61 | DON'T | MFS | |
| 62 | 君はハニーデュー | 日向坂46 | |
| 63 | RED | 今市 隆二 | |
| 64 | MAGNETIC | ILLIT | K-POP |
| 65 | OONTZ | MICHELLE | |
| 66 | 毎日 | 米津 玄師 | |
| 67 | アイワナ | 冨岡 愛 | |
| 68 | DANCE WITH THE DEVIL | BLXST AND ANDERSON .PAAK | |
| 69 | EVERYTIME | BAKAR FEAT. LANCEY FOUX | |
| 70 | SHE'S GONE, DANCE ON | DISCLOSURE | |
| 71 | CUBISM | OVALL | |
| 72 | WHITE LIES | NEWSPEAK | |
| 73 | BUBBLE GUM | NEWJEANS | K-POP |
| 74 | 鬼ノ宴 | 友成 空 | |
| 75 | LITHONIA | CHILDISH GAMBINO | |
| 76 | HEAVENLY HELL | STEVE AOKI FEAT. NE-YO | |
| 77 | YELLOW BIG HEADER | ピーナッツくん | |
| 78 | あなたへの手紙 | スガシカオ | |
| 79 | SEXY TO SOMEONE | CLAIRO | |
| 80 | ECHELON | 80KIDZ, SASCHA | |
| 81 | LOSE MY FOCUS | RAVEENA | |
| 82 | SAY | KESHI | |
| 83 | SO GOOD | REIKO | |
| 84 | RISK | GRACIE ABRAMS | |
| 85 | REALLY LOVE | 今市 隆二 FEAT. HIROMITSU KITAYAMA | |
| 86 | LOVE BANDITZ | OWV | |
| 87 | CINDERELLA | REMI WOLF | |
| 88 | BLAZE | 三代目 J SOUL BROTHERS FROM EXILE TRIBE | |
| 89 | HOW FAR IS YOUR LOVE | SURFACES WITH LOS LONELY BOYS | |
| 90 | FANTASY | DEF TECH | |
| 91 | 一日花 | 東京スカパラダイスオーケストラ FEAT.IMASE&習志野高校吹奏楽部 | |
| 92 | NO PROBLEMS | GINGER ROOT | |
| 93 | GOOD LUCK, BABE! | CHAPPELL ROAN | |
| 94 | CITY HABITS | BRKFSTBLEND | |
| 95 | モウショ | YAMORI | |
| 96 | I HAD SOME HELP | POST MALONE FEAT. MORGAN WALLEN | |
| 97 | HOT TO GO! | CHAPPELL ROAN | |
| 98 | ハチス | 折坂 悠太 | |
| 99 | I'M FREE | PARIS HILTON & RINA SAWAYAMA | |
| 100 | STEP BY STEP | TAIKING FEAT. 荒谷 翔大 |
占いにそんなこと言われても(整合性を求められても)だが、フツーにこう言う感じやで？
ENTP(討論者)の取扱説明書【恋愛観〜キャリアと適職などを ...
https://note.com › mbti_brain16
2022/12/11 — 【ADHD(多動症)やADD(注意欠陥障害)の可能性が最も高い】. これらの弱みが組み合わさることで、ENTPさんは、比較的ADHDやADDの傾向が強いとされます。単一 ...
紫先生 on X: "ENTP、ADHDの説明書だと思ったけど
X · Dr_murasaki_
高評価 70+ 件 · 2 年前
ENTP、ADHDの説明書だと思ったけど、意外とADHDで1番多いのはINFPだった。 絶対ADHD兼アスペであろう身近な人はINFPだった。 ノリで本格的なIQテスト ...
Entp Adhd 多い
https://www.tiktok.com › Discover
75M件の投稿。Entp Adhd 多い関連の動画をTikTokで探そう。 Entp and Adhd, Adhd何型が多い, Adhdだけが見える, Que Es Adhd, Iep for Adhd, Adhdあるあるに関する動画 ...
ENTPとADHD・ASD/アスペルガーなどの発達障害の関係を ...
生きづらさ×MBTI
https://minoritymbti.com › MBTI
2021/08/25 — ENTPは優勢機能に外向的直感(Ne)というADHDと親和性の高い心理機能を持っているため、ADHDの特徴に当てはまる人が比較的多いタイプです。
なるほど確かにその通りですね。
意固地になって謝罪を固辞し続けて大変申し訳ございませんでした。
僭越ながらわたくしめがフェミニストを代表して土下座で謝罪させていただきます。
その方法として古代中国より伝わる「三跪九叩頭の礼」で謝意を表させていただきます。
なお、冗長した記述を避けるためにプログラミング言語「COBOL」を用いることを予めご了承ください。
IDENTIFICATION DIVISION.
ENVIRONMENT DIVISION.
CONFIGURATION SECTION.
DATA DIVISION.
WORKING-STORAGE SECTION.
PROCEDURE DIVISION.
MAIN.
PERFORM 3 TIMES
DISPLAY "GUI"
PERFORM 3 TIMES
DISPLAY DOGEZA-CNT "KOUTOU"
DISPLAY "CHI"
END PERFORM.
DISPLAY "CHIRAI"
END PERFORM.
STOP RUN.
END PROGRAM SANGUIKIUKOUTOU.
御清聴ありがとうございました。
今日はしっかり寝たいだけ寝て7時から低山を走るも最初の階段で心臓バクバク、両ひざに手をつきゼェハァ
嘘だろおまえ歩いて登ると余裕なのに走ると一気に心臓に来やがって
気合を入れて走るも泥で滑り心を折られる（ちな前日は軽めの雨）
くるぶし内側下の筋肉がすげえ痛くなりウォーキングとは使う筋肉を使ってる感があって気持ちよくなる
その後は眼科に向かい診療を受け初期の緑内障が発覚、目薬を処方される
小2の頃から眼鏡であり、かなり強い近視ゆえ飛蚊症には慣れていたが
そんなワイでも飛蚊症が気になりはじめたゆえに行ってみたが
大大大正解であったッッッ
しっかし眼科の受付嬢から看護師までみんな美人揃いだし半袖で二の腕が目に毒だったわ
端から端まで美人だし声も優しくてもう眩しすぎて失明しそうだったぜ
みんな良く訓練されてるな、人気が出るのも納得の眼科だ
しかしこの先で悩んじゃうぜ
緑内障では細かい部品を見て目を酷使するタイプの工場や検査、VDT作業系の仕事は避けた方が無難だろうな・・・
もう派遣やって正規or期間工なんて企てずこのままフリーターを続けてyoutuberやろうかな
手取り13万独身派遣云々とか東大5度落ち元お笑い芸人云々とか
アレやろうかな
料理も割と好きだし
でもワイには一般視聴者に引っかかるフックがねえしネタも続かなさそうだな
先行投資で猫飼うか
猫＋俺なら無敵やろ多分
フフ
前途洋々だな俺の未来はよ！
な～んてことを考えながら
メルカリで買った1400円のUSBコネクタがついてるmp3プレーヤーに合うお安いイヤホンを求め家電屋に向かった
音質はどうかって？割と良いぞ
低音が出るとか高音が良く出るとか
そんなもんわかりゃしねえが散歩中には十分だぜ
でもこれまでの人生で受験票を忘れたり大事な日を忘れてすっぽかすようなクリティカルなミスはしてないんだよな・・・ほんとどうでもいいケアレスミスばかり
これじゃADDの診断降りなさそうだぜ
まあ
いずれにせよ良い休日であったッッッ