Here is the code for Heavenly_devine_healing_sleep_assist_five_minutes.python
import numpy as np
from scipy.io.wavfile import write
def generate_healing_sleep_assist_sound(duration, sample_rate):
t = np.linspace(0, duration, int(duration * sample_rate), endpoint=False)
# Divine frequencies and amplitudes with higher dynamic range
divine_freqs = [200.0, 300.0, 400.0, 500.0, 600.0]
divine_amplitudes = [1.0, 0.8, 0.6, 0.4, 0.3]
divine_amplitudes = [amp * 10**(18 / 20) for amp in divine_amplitudes]
divine_sound = np.zeros_like(t)
for freq, amp in zip(divine_freqs, divine_amplitudes):
divine_sound += amp * np.sin(2 * np.pi * freq * t)
# Add ethereal qualities (shimmering overtones)
divine_sound += 0.2 * np.sin(2 * np.pi * 2 * divine_freqs[0] * t)
divine_sound += 0.1 * np.sin(2 * np.pi * 3 * divine_freqs[1] * t)
# Introduce gradual changes for a sense of transcendence
divine_sound *= np.linspace(1.0, 0.7, len(t))
divine_sound += 0.1 * np.sin(2 * np.pi * 0.05 * t) # Slow modulation
# Normalize to range [-1, 1]
divine_sound /= np.max(np.abs(divine_sound))
# Heavenly frequencies and amplitudes with higher dynamic range
heavenly_freqs = [261.63, 329.63, 392.00, 523.25, 587.33]
heavenly_amplitudes = [1.0, 0.8, 0.6, 0.4, 0.3]
heavenly_amplitudes = [amp * 10**(18 / 20) for amp in heavenly_amplitudes]
heavenly_sound = np.zeros_like(t)
for freq, amp in zip(heavenly_freqs, heavenly_amplitudes):
heavenly_sound += amp * np.sin(2 * np.pi * freq * t)
# Add ethereal qualities (shimmering overtones)
heavenly_sound += 0.2 * np.sin(2 * np.pi * 2 * heavenly_freqs[0] * t)
heavenly_sound += 0.1 * np.sin(2 * np.pi * 3 * heavenly_freqs[1] * t)
# Introduce gradual changes for a sense of transcendence
heavenly_sound *= np.linspace(1.0, 0.7, len(t))
heavenly_sound += 0.1 * np.sin(2 * np.pi * 0.05 * t) # Slow modulation
# Healing frequencies
healing_freqs = [174.0, 285.0, 396.0, 417.0, 528.0, 639.0, 741.0, 852.0, 963.0]
healing_amplitude = 0.2
for freq in healing_freqs:
divine_sound += healing_amplitude * np.sin(2 * np.pi * freq * t)
heavenly_sound += healing_amplitude * np.sin(2 * np.pi * freq * t)
# Combine divine, heavenly, and healing sounds
healing_sleep_assist_sound = 0.4 * divine_sound + 0.4 * heavenly_sound + 0.2 * np.random.normal(0, 1, len(t))
# Normalize to range [-1, 1]
healing_sleep_assist_sound /= np.max(np.abs(healing_sleep_assist_sound))
return healing_sleep_assist_sound
# Set the duration and sample rate for one hour
duration_five_minutes = 5 * 60 # 5 minutes in seconds
sample_rate = 44100 # Hz
# Generate healing sleep assist sound for one hour
healing_sleep_assist_sound_five_minutes = generate_healing_sleep_assist_sound(duration_five_minutes, sample_rate)
# Save the generated sound to a WAV file with maximum quality
write("healing_sleep_assist_sound_five_minutes.wav", sample_rate, healing_sleep_assist_sound_five_minutes)
import numpy as np
from scipy.io.wavfile import write
def generate_healing_sleep_assist_sound(duration, sample_rate):
t = np.linspace(0, duration, int(duration * sample_rate), endpoint=False)
# Divine frequencies and amplitudes with higher dynamic range
divine_freqs = [200.0, 300.0, 400.0, 500.0, 600.0]
divine_amplitudes = [1.0, 0.8, 0.6, 0.4, 0.3]
divine_amplitudes = [amp * 10**(18 / 20) for amp in divine_amplitudes]
divine_sound = np.zeros_like(t)
for freq, amp in zip(divine_freqs, divine_amplitudes):
divine_sound += amp * np.sin(2 * np.pi * freq * t)
# Add ethereal qualities (shimmering overtones)
divine_sound += 0.2 * np.sin(2 * np.pi * 2 * divine_freqs[0] * t)
divine_sound += 0.1 * np.sin(2 * np.pi * 3 * divine_freqs[1] * t)
# Introduce gradual changes for a sense of transcendence
divine_sound *= np.linspace(1.0, 0.7, len(t))
divine_sound += 0.1 * np.sin(2 * np.pi * 0.05 * t) # Slow modulation
# Normalize to range [-1, 1]
divine_sound /= np.max(np.abs(divine_sound))
# Heavenly frequencies and amplitudes with higher dynamic range
heavenly_freqs = [261.63, 329.63, 392.00, 523.25, 587.33]
heavenly_amplitudes = [1.0, 0.8, 0.6, 0.4, 0.3]
heavenly_amplitudes = [amp * 10**(18 / 20) for amp in heavenly_amplitudes]
heavenly_sound = np.zeros_like(t)
for freq, amp in zip(heavenly_freqs, heavenly_amplitudes):
heavenly_sound += amp * np.sin(2 * np.pi * freq * t)
# Add ethereal qualities (shimmering overtones)
heavenly_sound += 0.2 * np.sin(2 * np.pi * 2 * heavenly_freqs[0] * t)
heavenly_sound += 0.1 * np.sin(2 * np.pi * 3 * heavenly_freqs[1] * t)
# Introduce gradual changes for a sense of transcendence
heavenly_sound *= np.linspace(1.0, 0.7, len(t))
heavenly_sound += 0.1 * np.sin(2 * np.pi * 0.05 * t) # Slow modulation
# Healing frequencies
healing_freqs = [174.0, 285.0, 396.0, 417.0, 528.0, 639.0, 741.0, 852.0, 963.0]
healing_amplitude = 0.2
for freq in healing_freqs:
divine_sound += healing_amplitude * np.sin(2 * np.pi * freq * t)
heavenly_sound += healing_amplitude * np.sin(2 * np.pi * freq * t)
# Combine divine, heavenly, and healing sounds
healing_sleep_assist_sound = 0.4 * divine_sound + 0.4 * heavenly_sound + 0.2 * np.random.normal(0, 1, len(t))
# Normalize to range [-1, 1]
healing_sleep_assist_sound /= np.max(np.abs(healing_sleep_assist_sound))
return healing_sleep_assist_sound
# Set the duration and sample rate for one hour
duration_five_minutes = 5 * 60 # 5 minutes in seconds
sample_rate = 44100 # Hz
# Generate healing sleep assist sound for one hour
healing_sleep_assist_sound_five_minutes = generate_healing_sleep_assist_sound(duration_five_minutes, sample_rate)
# Save the generated sound to a WAV file with maximum quality
write("healing_sleep_assist_sound_five_minutes.wav", sample_rate, healing_sleep_assist_sound_five_minutes)
β€1
Here is the code for Perfect heavenly, divine, healing, focus, calmness, alertness sound - five minutes.python
import numpy as np
from scipy.io.wavfile import write
def generate_perfect_audio(duration, sample_rate):
t = np.linspace(0, duration, int(duration * sample_rate), endpoint=False)
# Divine frequencies and amplitudes with higher dynamic range
divine_freqs = [200.0, 300.0, 400.0, 500.0, 600.0]
divine_amplitudes = [1.0, 0.8, 0.6, 0.4, 0.3]
divine_amplitudes = [amp * 10**(18 / 20) for amp in divine_amplitudes]
divine_sound = np.zeros_like(t)
for freq, amp in zip(divine_freqs, divine_amplitudes):
divine_sound += amp * np.sin(2 * np.pi * freq * t)
# Add ethereal qualities (shimmering overtones)
divine_sound += 0.2 * np.sin(2 * np.pi * 2 * divine_freqs[0] * t)
divine_sound += 0.1 * np.sin(2 * np.pi * 3 * divine_freqs[1] * t)
# Introduce gradual changes for a sense of transcendence
divine_sound *= np.linspace(1.0, 0.7, len(t))
divine_sound += 0.1 * np.sin(2 * np.pi * 0.05 * t) # Slow modulation
# Normalize to range [-1, 1]
divine_sound /= np.max(np.abs(divine_sound))
# Heavenly frequencies and amplitudes with higher dynamic range
heavenly_freqs = [261.63, 329.63, 392.00, 523.25, 587.33]
heavenly_amplitudes = [1.0, 0.8, 0.6, 0.4, 0.3]
heavenly_amplitudes = [amp * 10**(18 / 20) for amp in heavenly_amplitudes]
heavenly_sound = np.zeros_like(t)
for freq, amp in zip(heavenly_freqs, heavenly_amplitudes):
heavenly_sound += amp * np.sin(2 * np.pi * freq * t)
# Add ethereal qualities (shimmering overtones)
heavenly_sound += 0.2 * np.sin(2 * np.pi * 2 * heavenly_freqs[0] * t)
heavenly_sound += 0.1 * np.sin(2 * np.pi * 3 * heavenly_freqs[1] * t)
# Introduce gradual changes for a sense of transcendence
heavenly_sound *= np.linspace(1.0, 0.7, len(t))
heavenly_sound += 0.1 * np.sin(2 * np.pi * 0.05 * t) # Slow modulation
# Healing frequencies
healing_freqs = [174.0, 285.0, 396.0, 417.0, 528.0, 639.0, 741.0, 852.0, 963.0]
healing_amplitude = 0.2
for freq in healing_freqs:
divine_sound += healing_amplitude * np.sin(2 * np.pi * freq * t)
heavenly_sound += healing_amplitude * np.sin(2 * np.pi * freq * t)
# Focus frequencies
focus_freqs = [20.0, 40.0, 60.0, 80.0, 100.0]
focus_amplitudes = [0.6, 0.5, 0.4, 0.3, 0.2]
for freq, amp in zip(focus_freqs, focus_amplitudes):
divine_sound += amp * np.sin(2 * np.pi * freq * t)
heavenly_sound += amp * np.sin(2 * np.pi * freq * t)
# Calmness frequencies
calmness_freqs = [8.0, 12.0, 16.0, 20.0, 24.0]
calmness_amplitudes = [0.6, 0.5, 0.4, 0.3, 0.2]
for freq, amp in zip(calmness_freqs, calmness_amplitudes):
divine_sound += amp * np.sin(2 * np.pi * freq * t)
heavenly_sound += amp * np.sin(2 * np.pi * freq * t)
# Alertness frequencies
alertness_freqs = [30.0, 50.0, 70.0, 90.0, 110.0]
alertness_amplitudes = [0.6, 0.5, 0.4, 0.3, 0.2]
for freq, amp in zip(alertness_freqs, alertness_amplitudes):
divine_sound += amp * np.sin(2 * np.pi * freq * t)
heavenly_sound += amp * np.sin(2 * np.pi * freq * t)
# Combine divine, heavenly, healing, focus, calmness, and alertness sounds
perfect_audio = (
0.2 * divine_sound +
0.2 * heavenly_sound +
0.1 * np.random.normal(0, 1, len(t)) # Add a touch of randomness for diversity
)
# Normalize to range [-1, 1]
perfect_audio /= np.max(np.abs(perfect_audio))
return perfect_audio
# Set the duration and sample rate for five minutes
duration_five_minutes = 5 * 60 # five minutes in seconds
sample_rate = 44100 # Hz
# Generate perfect audio for five minutes
perfect_audio_five_minutes = generate_perfect_audio(duration_five_minutes, sample_rate)
# Save the generated sound to a WAV file with maximum quality
write("perfect_audio_five_minutes.wav", sample_rate, perfect_audio_five_minutes)
import numpy as np
from scipy.io.wavfile import write
def generate_perfect_audio(duration, sample_rate):
t = np.linspace(0, duration, int(duration * sample_rate), endpoint=False)
# Divine frequencies and amplitudes with higher dynamic range
divine_freqs = [200.0, 300.0, 400.0, 500.0, 600.0]
divine_amplitudes = [1.0, 0.8, 0.6, 0.4, 0.3]
divine_amplitudes = [amp * 10**(18 / 20) for amp in divine_amplitudes]
divine_sound = np.zeros_like(t)
for freq, amp in zip(divine_freqs, divine_amplitudes):
divine_sound += amp * np.sin(2 * np.pi * freq * t)
# Add ethereal qualities (shimmering overtones)
divine_sound += 0.2 * np.sin(2 * np.pi * 2 * divine_freqs[0] * t)
divine_sound += 0.1 * np.sin(2 * np.pi * 3 * divine_freqs[1] * t)
# Introduce gradual changes for a sense of transcendence
divine_sound *= np.linspace(1.0, 0.7, len(t))
divine_sound += 0.1 * np.sin(2 * np.pi * 0.05 * t) # Slow modulation
# Normalize to range [-1, 1]
divine_sound /= np.max(np.abs(divine_sound))
# Heavenly frequencies and amplitudes with higher dynamic range
heavenly_freqs = [261.63, 329.63, 392.00, 523.25, 587.33]
heavenly_amplitudes = [1.0, 0.8, 0.6, 0.4, 0.3]
heavenly_amplitudes = [amp * 10**(18 / 20) for amp in heavenly_amplitudes]
heavenly_sound = np.zeros_like(t)
for freq, amp in zip(heavenly_freqs, heavenly_amplitudes):
heavenly_sound += amp * np.sin(2 * np.pi * freq * t)
# Add ethereal qualities (shimmering overtones)
heavenly_sound += 0.2 * np.sin(2 * np.pi * 2 * heavenly_freqs[0] * t)
heavenly_sound += 0.1 * np.sin(2 * np.pi * 3 * heavenly_freqs[1] * t)
# Introduce gradual changes for a sense of transcendence
heavenly_sound *= np.linspace(1.0, 0.7, len(t))
heavenly_sound += 0.1 * np.sin(2 * np.pi * 0.05 * t) # Slow modulation
# Healing frequencies
healing_freqs = [174.0, 285.0, 396.0, 417.0, 528.0, 639.0, 741.0, 852.0, 963.0]
healing_amplitude = 0.2
for freq in healing_freqs:
divine_sound += healing_amplitude * np.sin(2 * np.pi * freq * t)
heavenly_sound += healing_amplitude * np.sin(2 * np.pi * freq * t)
# Focus frequencies
focus_freqs = [20.0, 40.0, 60.0, 80.0, 100.0]
focus_amplitudes = [0.6, 0.5, 0.4, 0.3, 0.2]
for freq, amp in zip(focus_freqs, focus_amplitudes):
divine_sound += amp * np.sin(2 * np.pi * freq * t)
heavenly_sound += amp * np.sin(2 * np.pi * freq * t)
# Calmness frequencies
calmness_freqs = [8.0, 12.0, 16.0, 20.0, 24.0]
calmness_amplitudes = [0.6, 0.5, 0.4, 0.3, 0.2]
for freq, amp in zip(calmness_freqs, calmness_amplitudes):
divine_sound += amp * np.sin(2 * np.pi * freq * t)
heavenly_sound += amp * np.sin(2 * np.pi * freq * t)
# Alertness frequencies
alertness_freqs = [30.0, 50.0, 70.0, 90.0, 110.0]
alertness_amplitudes = [0.6, 0.5, 0.4, 0.3, 0.2]
for freq, amp in zip(alertness_freqs, alertness_amplitudes):
divine_sound += amp * np.sin(2 * np.pi * freq * t)
heavenly_sound += amp * np.sin(2 * np.pi * freq * t)
# Combine divine, heavenly, healing, focus, calmness, and alertness sounds
perfect_audio = (
0.2 * divine_sound +
0.2 * heavenly_sound +
0.1 * np.random.normal(0, 1, len(t)) # Add a touch of randomness for diversity
)
# Normalize to range [-1, 1]
perfect_audio /= np.max(np.abs(perfect_audio))
return perfect_audio
# Set the duration and sample rate for five minutes
duration_five_minutes = 5 * 60 # five minutes in seconds
sample_rate = 44100 # Hz
# Generate perfect audio for five minutes
perfect_audio_five_minutes = generate_perfect_audio(duration_five_minutes, sample_rate)
# Save the generated sound to a WAV file with maximum quality
write("perfect_audio_five_minutes.wav", sample_rate, perfect_audio_five_minutes)
β€5
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CHALLANGE: change the word "Lyme" with COVID19, change the word "IDSA" with "FDA", and tell me if you can find ANY difference between the conflicts of interests that seems to be the hallmark of the broken regulatory system. The clip is from the 2008 movie "Under Our Skin".
THE MOVIE IS HIGHLY RECOMMENDED!!!
Link to direct watch:
https://www.youtube.com/watch?v=2JgR_Jfbhv8
THE MOVIE IS HIGHLY RECOMMENDED!!!
Link to direct watch:
https://www.youtube.com/watch?v=2JgR_Jfbhv8
π15π4β€2
SARS-CoV-2, DEFINITION: A DESIGNER VIRUS, a computer generated structural and functional analog of known virus that has been designed to mimic and enhance its effects while avoiding classification as illegal bioweapon by using fake PCR tests.
(for virus, see next post) XXXX
(for virus, see next post) XXXX
π₯19β€5π4π2
THE COVID19 MRNA SHOTS "TURBO CANCER" MECHANISM:
(1) mRNA generated spike cause mitochondria damage which lead to cancer. The "vaccine" kills the cell's kill switch. The spike protein fragment 674β685 neutralize the mitochondria from releasing cytochrome c, which prevents the cell from being able to kill itself. Also, MITOCHONDRIAL DAMAGE is the root cause to the wide range of damage "vaccines" causes, as mitochondrial damage is involve in almost every pathology.
(2) The use of codon optimization leads to misfolded proteins which fuels the cancer.
That's how the bioweapon called "vaccines" works.
(1) mRNA generated spike cause mitochondria damage which lead to cancer. The "vaccine" kills the cell's kill switch. The spike protein fragment 674β685 neutralize the mitochondria from releasing cytochrome c, which prevents the cell from being able to kill itself. Also, MITOCHONDRIAL DAMAGE is the root cause to the wide range of damage "vaccines" causes, as mitochondrial damage is involve in almost every pathology.
(2) The use of codon optimization leads to misfolded proteins which fuels the cancer.
That's how the bioweapon called "vaccines" works.
π€―13π€¬8π’7π6π₯4π€¨2
There is an aspect of #measles that everyone seems to ignore - #VitaminA deficiency, which is a public health problem in more than half of all countries, and directly tied to the body's inability to handle measles. Have an influx of these people to your country and β¦ SURPRISE!
Ask ourselves: how come truths about #measles that were known SINCE 1932 were supressed? I'll give you a hint: it's a word that starts with the letter "V". Can you guess what it is, and who is behind it?
Ask ourselves: how come truths about #measles that were known SINCE 1932 were supressed? I'll give you a hint: it's a word that starts with the letter "V". Can you guess what it is, and who is behind it?
π17β€5π₯2
Vitamin A, from Abram Hoffer book's "Orthomolecular medicine for everyone", which is HIGHLY recommended.
π15β€4
GENTLE THOUGHTS: As we awaits to #TuckerCarlson's interview with #Putin to be released, I invite you to listen to an AMAZING JAM SESSION I captured last Friday at one the best jazz clubs in the world, Moscow's Kozlov club. Russian musicians are AMAZING!
https://www.youtube.com/watch?v=vyaUVKejGAE
https://www.youtube.com/watch?v=vyaUVKejGAE
YouTube
Gentle Thoughts (Herbie Hancock) - The Cozlov Jam Sessions - 2nd/3rd of February 2024
Artists:
Slava Bystrov - keys
Vladimir Filatkin - Drums
Evgeny Panfilov - Bass
Vlad Savenkov - Guitar
Vitaly Bratukhin - Sax
Alexander Dovgopoly - Sax
Ivan Akatov - Trumpet
ΠΠΠΠΠΠΠ‘ΠΠΠΠ (GLAVMOSDZHEM)
Slava Bystrov - keys
Vladimir Filatkin - Drums
Evgeny Panfilov - Bass
Vlad Savenkov - Guitar
Vitaly Bratukhin - Sax
Alexander Dovgopoly - Sax
Ivan Akatov - Trumpet
ΠΠΠΠΠΠΠ‘ΠΠΠΠ (GLAVMOSDZHEM)
π8β€5
The late wonderful Rabbi Sacks on the mutation of antisemitism.
https://www.youtube.com/watch?v=3UAcYn4uUbs
https://www.youtube.com/watch?v=3UAcYn4uUbs
YouTube
Rabbi Sacks on The Mutation of Antisemitism | Animation | Rabbi Jonathan Sacks
In recent months and years we have seen the return and rise of antisemitism across Europe and around the world. But how has antisemitism mutated over time? And why does its return today present a danger not just for Jews, but for all who care about our commonβ¦
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The late wonderful Rabbi Sacks on the connection between Antisemitism, Anti-Zionism, Judaism & Israel.
https://www.youtube.com/watch?v=MIoZvHU3wwg
https://www.youtube.com/watch?v=MIoZvHU3wwg
YouTube
Rabbi Sacks on the Connection Between Antisemitism, Anti-Zionism, Judaism & Israel | Rabbi Sacks
As we approach Yom HaShoah, the day in the Jewish calendar when we remember the victims of the Holocaust, we tragically continue to see levels of antisemitism and antisemitic attacks rising in countries all over the world.
Over the past year or so, workingβ¦
Over the past year or so, workingβ¦
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